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good evening dear friends Moscow 190000:15:40
11 if I'm not mistaken today is July we00:15:43
I am warmly glad to welcome you to the first00:15:45
start where our three-day00:15:46
the intensive topic of which00:15:48
profession of data scientist Musya00:15:50
processing data analysis in three days00:15:52
Let me introduce myself briefly, my name is Dennis00:15:54
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questions to our today's speaker on00:16:12
traditions, let's immediately build ours00:16:14
because often write everything in the comments00:16:16
equally good with sound and video00:16:17
Well, are we generally visible and audible?00:16:20
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I was sitting there and didn’t have time to read this one, so00:16:38
Of course I can’t help but tell everyone00:16:40
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there's no need to be afraid of ether, it's just00:16:45
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oop + + + 5 points out of 5 super so good00:17:11
seen heard heard + + + everything is fine ok00:17:14
pros, well, super in general and really00:17:16
started you hear me and see it00:17:18
can't help but rejoice in this case00:17:20
Let's00:17:21
we will fully begin our intensive and00:17:24
actually once but today is the first day00:17:26
We will start it, of course, with acquaintance in00:17:29
the first day is still customary to get acquainted00:17:30
so I ask you to write a little about00:17:32
to myself00:17:33
here in the chat on lan skillbox let's00:17:36
so how old are you and what city are you from?00:17:38
Why did we even decide to go through this?00:17:40
intensive what are your goals and objectives?00:17:42
during those three days but who writes the matter I00:17:46
of course he's talking about us to someone about us00:17:48
presented if one of those who are with us00:17:50
generally a stranger, unique in this way00:17:53
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We already have more than 300 thousand users on the platform00:17:57
more than 600 users developed00:17:59
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there are even more than one and a half thousand00:18:07
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Speaking of careers, 88 percent of all00:18:20
platform users who00:18:21
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found a job with our help and00:18:27
still at the training stage, these are00:18:29
not showing enough one might say00:18:31
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we arrange various kinds of not only00:18:35
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Oktyabrskaya you can come there to look at00:18:41
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we work hard to visit various kinds there00:18:45
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do you live in Moscow or will you be in00:18:50
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stop by our office we will be very happy00:18:53
We're glad to see you and of course I can't help but00:18:56
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special offer than this and in general00:19:26
I say don't worry about it everyone00:19:28
I’ll definitely tell you in detail, but just a little00:19:29
later now let me introduce you00:19:31
our speaker is the one who will be00:19:33
the next three days and will be with us00:19:36
to the well-known, frankly speaking, Anastasia00:19:38
bor him head of department00:19:39
data research in sber mathematician00:19:41
programmer by education 8 years already in00:19:43
programming on opi00:19:45
build models of classic walkie-talkie texts but00:19:47
before passing the word directly00:19:49
Anastasia still quickly chat00:19:51
I'll be back Tatars actually00:19:55
Let me remind you of the main organizational points00:19:57
one scroll makes Moscow 29 years old00:20:01
Petersburg is boring again, learn something new00:20:04
blade profession 49th level with gerson00:20:07
new this topic from 5 Peter is needed for00:20:10
work Kazan 1600:20:12
18 to 22 so I see that we are really00:20:16
wide geography00:20:19
and actually I see that it’s very very00:20:22
wide age range includes 1300:20:24
yo I even see super, well00:20:27
we will try to be for everyone00:20:28
universal for these three days I hope00:20:31
that one way or another we will be for everyone00:20:32
useful top for yourself something useful00:20:34
pick up from our intensive course and let's00:20:36
to welcome part this is not00:20:38
Don't delay, I'll tell you quickly00:20:41
the main organizational ones00:20:43
moments at our intensive before what happened00:20:45
just a rough idea of how he is in general00:20:46
everything is arranged on our 1 earth broadcasts00:20:49
moment this is a recording of the broadcast this is what it’s like00:20:51
the most common question we face00:20:53
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the recording will of course be without her at all00:21:00
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save it where it’s convenient for you so you can understand it00:21:16
go watch the movie there00:21:18
as many times as you like 2 options to get00:21:20
recording the broadcast is waiting for the end here00:21:23
this broadcast at the end of the broadcast00:21:25
we will give here answer movie00:21:27
Laevsky region in this chat will be00:21:29
link to telegram chat intensive00:21:32
telegram chat there will be a recording of the broadcast and00:21:35
today and tomorrow after00:21:36
tomorrow there will be useful information from00:21:38
intensive home information00:21:40
you will also hand over the work00:21:41
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keep this in mind and of course to us00:21:46
there will be communication among the most active00:21:47
intensive participants on this if you00:21:49
want to get the most out of these00:21:51
three days must be added to00:21:54
telegram intensive chat I remind you once again00:21:56
We will give a link to it at the end of this00:21:59
We'll give them airtime here in the live chat00:22:02
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write them here carefully and skillbox00:22:10
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I see that there will be a lot of people today00:22:16
there are probably a lot of questions about00:22:18
please like this please like it00:22:20
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paid attention to them00:22:25
to make it easier monitor the chat you so00:22:28
under no circumstances should such questions be answered00:22:30
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helps therefore please don't00:22:33
neglect this opportunity to bet00:22:34
likes on interesting questions00:22:37
polls also sorted out the final00:22:39
organizational moment is small00:22:41
break at about 40 there is a dash 5000:22:43
a minute from the start of the broadcast we will have00:22:46
short information pause approx.00:22:48
for 15 minutes where I’ll just talk about00:22:51
this special button here00:22:53
proposal about what is there00:22:54
special offer for00:22:56
career consultation what we have in general00:22:58
there is a NATO site for Skill Box, so00:23:01
if you are interested in profession you I like00:23:04
you're interested in the fact that the majority00:23:05
example of people interested in this area00:23:07
be sure to listen to this information about00:23:09
will really be useful to you but00:23:11
we'll come back to this later, now let's do it00:23:13
go to the content part and for this00:23:15
we must of course welcome our00:23:17
speaker please do this in chat I00:23:19
I'll do it in a natural voice00:23:21
Anastasia, good evening, glad to see you again00:23:23
you on our broadcast I think that you00:23:25
Everyone is really looking forward to it, so I’ll tell you right away00:23:28
word00:23:30
Good evening00:23:31
very glad to see you, let's not00:23:35
stick to00:23:38
and I'll show you a demo right away00:23:41
[music]00:23:43
so they write that I have no sound, they are from00:23:46
the sound is ok00:23:48
but at least I heard about00:23:50
beautiful00:23:52
I will quickly answer the question too00:23:54
organizationally until how long will we have00:23:56
We have classes today for about one and a half hours00:23:59
by the way, Anastasia is not for you either00:24:02
told us today for about an hour and a half00:24:04
we need to go to bed during this period00:24:05
because immediately we have a sign of growth00:24:07
next broadcast also keep the same timing00:24:10
in my head so to speak just in case00:24:12
I'm just warning you00:24:16
noise and so on today and the next three00:24:20
day we will get acquainted with00:24:22
profession yes it's santis I've seen a lot00:24:25
requests in the comments about what you00:24:27
want to change your occupation or00:24:29
finishing school and trying to choose00:24:32
future profession and actually mine00:24:35
our mission is with you for these three days as00:24:37
time and get to know the profession today00:24:40
I'll give you a little introductory part00:24:42
about half the time you and I00:24:44
Let's figure out who a dentist is and what he is00:24:47
does what is different from date00:24:49
analytics and so on after this will be00:24:53
short pause short informational00:24:55
block we will answer your questions00:24:57
which have accumulated and after this there will be00:24:59
practical part: getting to know Python00:25:01
tomorrow you and I will build real00:25:04
models, that is, already fully work in00:25:07
as data scientists00:25:09
after that at the end of the second day we will tell you00:25:11
we give you homework00:25:13
it will be possible by the day after tomorrow00:25:16
make the broadcast the third day, we are with you00:25:19
let's sort out our homework00:25:22
some nuances and answer the rest00:25:26
I've been confusing questions with you all these three days00:25:29
in telegram chat so working with us00:25:32
you have a lot to do00:25:38
intensive is not designed for what you00:25:41
you will become a full-fledged dagaz in this there for00:25:43
these three days we will get to know each other00:25:46
professions so you may be00:25:49
you'll like it and want to continue00:25:50
are developing in this area, but quite like this00:25:53
it may seem but it turns out that you00:25:56
you will understand that these areas are not for you00:25:58
maybe in this case too, me too00:26:00
I will consider that I have done my job00:26:02
because it means that you have become00:26:05
one step closer to being real00:26:07
find what you like00:26:09
a small disclaimer looking ahead to what00:26:12
we'll need it for practice today00:26:15
since we didn't cross them, check00:26:17
please do you have an account on00:26:18
google drive and at least a few00:26:21
megabytes of free space because00:26:23
we will work with you was Wednesday00:26:25
development google call from it works00:26:28
also like google docs or google00:26:30
presentation is a file on google drive00:26:32
which you have the opportunity to yourself00:26:34
copy and work in it that's why00:26:37
here please remember the password00:26:39
from google drive00:26:42
so once again this intensive will be in00:26:46
first for those who have never00:26:47
We programmed it directly in detail step by step00:26:49
step by step we will analyze each element00:26:52
then we do something if you are in doubt00:26:56
I will tell you the advantages of choosing a profession00:26:58
so and cons00:26:59
well, if you are already working with analysis00:27:03
data and use, for example, excel or00:27:05
power by van bay you can look00:27:08
how can you analyze data using00:27:10
python00:27:12
and today we will focus on that00:27:14
that we will carry out the first stage00:27:16
machine learning model development00:27:18
machine learning analyze them00:27:20
cooking and it’s so simple in principle n00:27:24
is this a union or photo sex in Russian but if00:27:29
speaking in scientific language, this is what it is00:27:32
science that gets ideas about00:27:34
cells through data, well, for example, we can00:27:37
teach the machine that is the computer00:27:40
determine the type of wine by its hue00:27:42
acidity and strength for some reason00:27:44
parameters that can be digitized00:27:46
combine texts of the same genre00:27:49
automatically or for example write00:27:51
annotations predict exchange rates or00:27:54
temperature outside the window and even draw00:27:56
paintings00:27:58
there are several areas related to food00:28:01
this is science and artificial intelligence on00:28:04
in fact, classifications can be00:28:06
different from some strict definition00:28:09
no, someone is drawing these circles00:28:12
I like intersecting00:28:13
strictly nested classification where00:28:16
artificial intelligence is the most00:28:18
wide area is any imitation00:28:20
human intelligence is not necessary00:28:23
with the help of machine learning this can00:28:25
be some kind of choice or let's say00:28:28
dictionary00:28:30
machine learning is already about00:28:34
our computer download statistics00:28:37
data and teach you identify some00:28:40
dependencies with which the machine00:28:42
will be able to do something automatically00:28:44
predict or for example00:28:47
generate, for example, a picture00:28:49
leaves00:28:50
neural networks are often confused and machine00:28:53
training or artificial intelligence00:28:56
considering these to be synonyms but in fact00:28:59
neural networks are just one of the00:29:02
machine learning tools00:29:04
here we will look a little further00:29:06
what is the difference and the type of flight is deep00:29:09
learning is already deep simpletons00:29:13
large neural networks that perform00:29:15
difficult tasks I will repeat this again00:29:18
classification00:29:19
not harsh, but there is no strictness here00:29:24
classifications such as in economics00:29:27
or some other small00:29:30
let's look at an example of what00:29:33
different simple artificial00:29:34
intelligence machine learning and neural00:29:36
networks, let’s say we have a simple00:29:39
an algorithm that simply looks at the value00:29:43
temperature and depending on the threshold00:29:45
higher or lower says the person is sick or00:29:47
cool we can write like this Harry there00:29:50
four lines and if we serve on00:29:54
the input to such an algorithm is temperature00:29:56
thirty-six and eight he has no doubt00:29:58
answers that the person is healthy, this is one of00:30:02
variations imitation let's say solving a problem with00:30:05
help to your intellect00:30:08
machine learning is already about some00:30:10
probabilistic statistical history00:30:12
let's say we have00:30:14
some statistics in the hospital but 1000:30:17
thousands of patient records one of them00:30:21
had a temperature of 36 and 8 2 someone was00:30:24
temperature thirty six point eight00:30:25
more because he had some00:30:27
other symptoms and conclusion of this entire database00:30:29
We load the data into our algorithm00:30:32
machine learning00:30:34
cars, but that is, a computer so that00:30:36
the computing device is learning00:30:38
dependencies appear and so on00:30:40
predicts the answer but already with some00:30:43
probability00:30:44
this allows us to solve problems more00:30:48
flexible00:30:49
neural networks are just one of the00:30:52
moto or machine learning architectures00:30:54
which allows us to learn and something00:30:57
actually predict this00:30:59
the simplest nodes are each simple00:31:02
functions such as addition and multiplication00:31:04
on the casting number of a maximum of two numbers but00:31:08
thanks to the fact that they are like00:31:09
human neurons connected into one00:31:13
we get a big big shape00:31:17
approximate really complex ones00:31:19
dependencies00:31:25
how mn models are trained, you and I00:31:27
Let's look at it in more detail tomorrow00:31:30
I'll leave you with this little disclaimer00:31:33
so, for example, we need to determine00:31:36
where is the house or apartments located?00:31:39
San Francisco or New York and we can00:31:42
select machine model architecture00:31:44
training00:31:45
which is called a decision tree and00:31:48
build something like this00:31:51
in such a questionnaire that selects on00:31:54
depending on the parameter which group00:31:57
determine one or the other before00:31:59
Tomorrow we'll look at it in more detail00:32:04
people often ask what is possible00:32:05
automate using00:32:06
artificial intelligence it all sounds00:32:08
very cool but how applicable is this00:32:10
in life00:32:12
in fact, everything here is Ukrainian00:32:14
only your imagination00:32:15
look for different businesses on the Internet00:32:18
who use artificial00:32:20
intelligence I like to watch there00:32:23
they automated pizza altogether00:32:25
they gave me anything I wanted00:32:27
cameras that look at pizza which00:32:30
leaves the oven and with the help00:32:32
computer vision does not calculate00:32:34
was the color technology violated?00:32:37
crusts according to the size of the bubbles and so on00:32:40
and it works it's more accurate and00:32:44
impartially than a person00:32:48
what are the classes of problems that are solved00:32:51
dat ass in this you actually them00:32:53
great amount00:32:55
this is also a forecast of some time series00:32:58
repeating events, for example courses00:33:01
temperature currencies outside the window and so on00:33:04
crowds no shillings processing it00:33:08
text analysis from post on natural00:33:11
language using artificial00:33:13
intelligence we can encode text and00:33:16
identify toxic comments write00:33:20
automatic annotations to texts and so on00:33:23
Further00:33:24
searching for anomalies can be done using00:33:27
machine learning for example build00:33:30
a statistical model of some instrument00:33:33
don't look at his works00:33:35
have I been deviated from monitoring?00:33:38
in computer vision and with you an example00:33:41
have already looked at social networks00:33:43
artificial intelligence tells you00:33:45
those closest to you most interesting00:33:49
community music00:33:50
videos of friends and so on00:33:54
cybersecurity can filter spam00:33:56
or for example fraudulent transactions but00:33:59
that is, some deviation from00:34:01
standard behavior00:34:03
or even the decision to issue a loan can be00:34:07
already put a lot on the car these are those00:34:10
problems that businesses solve and for them00:34:14
it is enough to study ready-made solutions00:34:16
tools is a coat p00:34:19
there is for example java for processing large00:34:22
data si plus plus for computer00:34:24
vision and so on for those tasks that00:34:28
we listed a little earlier00:34:31
knowledge of mathematics is required00:34:33
deep, that is, there is higher mathematics00:34:36
There is no need for a technical university here, but00:34:40
if you want to study00:34:42
advancement of science forward and just00:34:47
invent new methods using00:34:49
which can be trained to become machines then00:34:52
you really need it soon00:34:55
just get a higher math degree00:34:56
education, but again I emphasize that00:34:59
these are different areas if we decide00:35:02
some practical tasks that is00:35:04
someone's pain and as it was customary to say00:35:09
then we just need to learn how to use00:35:12
already prepared algorithms00:35:16
I want to talk about what the difference is again00:35:20
between the data analyst, researcher and00:35:22
engineers00:35:25
because this fight works with data00:35:29
again, if you read the vacancies then00:35:32
their responsibilities overlap in many ways, but00:35:35
they can be differentiated in such a way that00:35:38
analyst is more00:35:40
subject matter specialist00:35:42
when I come you decide on00:35:44
based on this here is a data scientist00:35:47
wants a car00:35:49
analyze aggregate data00:35:52
identify some bring together for00:35:55
analytics is ideal00:35:57
the analyst also acts as a customer00:36:00
succeed and the dough so that he develops00:36:03
him tools that would make it easier for him00:36:06
job date engineer is a person who00:36:09
not very good at subject matter00:36:11
area it is not necessary to know how00:36:13
neural networks work, this is that person00:36:15
which collects data and organizes it00:36:18
storage but for example00:36:20
reads data from Internet pages00:36:23
is there different players played00:36:30
we told you a little earlier that the date00:36:34
son test but partially tries to take away00:36:36
the analyst's work and shift it to00:36:38
computer00:36:40
Why should we do manual analysis?00:36:44
why do we need to study it? So the point is00:36:48
that the machine will reveal everything00:36:50
dependencies that she saw data and00:36:52
she has no other idea of the world00:36:55
so she can reveal but some00:36:58
frankly speaking, the hero was cool00:37:00
whole site with false correlation me my00:37:03
favorite example of this is the quantity graph00:37:06
people to work and but not salvation and00:37:08
number of films with nicolas cage00:37:10
which came out this year here's a car00:37:13
looks at these graphs and says well00:37:16
the number of films is growing00:37:19
the number of drownings is growing growing in00:37:22
a movie with Nicholas is ready00:37:24
we cover all the pools with cages00:37:25
increased danger so that cars don’t00:37:29
identified such00:37:31
stupid stories we must first00:37:34
learn to analyze data exactly how00:37:37
People00:37:41
because00:37:45
pretty can search00:37:49
great amount00:37:50
[music]00:37:52
on00:37:53
Hunter, you can look for some00:37:56
communities00:37:59
unfortunately we have problems right now00:38:02
there used to be a canal in this place00:38:06
jerry one community about panda touching00:38:08
where vacancies were published specifically for00:38:11
data scientists he was like that00:38:13
the largest and most reliable channel00:38:19
so about the minuses about everything I tell you after all00:38:21
promised to tell not only the advantages and00:38:24
minuses00:38:25
so that's why in this profession you can00:38:29
burn out quickly if not, but some00:38:33
development culture because00:38:37
unfortunately this is all about testing hypotheses00:38:40
why is it called the site science can00:38:43
because mathematics is not following00:38:45
instructions for this placement of signs and00:38:47
every time we examine data00:38:50
we need to show some00:38:53
fantasy, some kind of creativity and not always00:38:57
it turns out that we can finish00:39:01
project to completion00:39:04
amount of time it takes to clean00:39:06
data plus but for someone else isn’t it us?00:39:08
someone plus need to communicate with people00:39:10
a lot because it's a dentist00:39:13
still a specialist00:39:16
representation of data in mathematical00:39:18
form00:39:19
he definitely needs the help of an analyst00:39:22
in order to understand the subject matter00:39:24
area and don't do something stupid00:39:27
plus low demand for palatal specialists00:39:31
despite the fact that there are open vacancies under00:39:33
this is a huge number and number of them00:39:35
only grows the spin is built enough00:39:38
difficult00:39:40
now we'll talk about how it is00:39:42
get around00:39:44
first of all, we don’t have education here00:39:48
we mean higher technical00:39:50
education00:39:51
like I already said, higher mathematics00:39:53
you need is not always about00:39:57
the fact that a huge number of responses to00:39:59
vacancy garbage, that is, a person in general00:40:03
never programmed and just00:40:05
responds to all vacancies00:40:07
at random, when we hired our00:40:10
room you encountered this what on00:40:12
application received 90 responses view00:40:15
so many resumes00:40:17
it was quite difficult to do it manually00:40:19
we installed the primary filter00:40:21
education if you don’t have any00:40:23
certificates where it would be written00:40:25
data analyst or dota science there and these00:40:28
We discard the resume and out of 90, 22 gave up00:40:32
like this00:40:35
in order to pass the primary00:40:38
filtering you need to knock out a resume00:40:41
the same crusts in different courses00:40:44
advanced training and so on00:40:47
specifically in the field of dsns or analysis then00:40:52
this is the first point, let's say, and you00:40:55
passed through the primary filter and then yours00:40:57
we see we need to look under the name like00:40:59
make it more interesting in the background00:41:01
resumes of candidates, which graduates00:41:04
courses as if00:41:06
you need to kill your resume and real00:41:08
projects on how to actually do it00:41:12
the coolest case is when you00:41:14
activate processes at your current work00:41:16
even in00:41:19
comments to this intensive I00:41:21
I think I saw it00:41:22
request what's there I want something00:41:25
optimize your routine somehow00:41:28
simplify with the help of this sun00:41:31
you can really do this00:41:34
even now I can give my ideas some00:41:37
according to the routine you wanted to shift to00:41:40
computer, for example, there is optimization00:41:42
reports00:41:44
some calculations00:41:46
sending some documents00:41:50
automatic responses by the customer and so on00:41:53
Further00:41:55
further use as sources00:41:57
competitions and hackathons for inspiration00:42:01
And00:42:03
organize companies that need to be solved00:42:05
hereby your business further and mine00:42:08
life hack don't try to use them00:42:11
in order to get some00:42:14
prize place because it's difficult00:42:17
even an experienced programmer but you can00:42:20
use them as an idea for your00:42:22
portfolio here in competitions about them00:42:24
which you will immediately receive all the data00:42:26
give the conditions of the problem and moreover00:42:29
you can see how the results00:42:31
the winners solved this problem because00:42:33
they proton often protrude00:42:36
conference here or the organizers00:42:40
competitions publish decisions00:42:42
I will definitely offend networking trolls00:42:45
communicate with people because many00:42:47
job vacancy00:42:48
passed on to friends before I even got there00:42:51
before the hit which is the strongest of yours00:42:56
social network is those people with whom00:42:58
you studied so if you are lucky00:43:03
study somewhere 9th group where there is00:43:06
It’s mandatory to study gravestones00:43:08
maintain good relations with them00:43:11
Find out who works where and who goes where00:43:14
moves and so on but also internships00:43:17
this point is for those who basically only00:43:21
graduates from college in some way00:43:23
specialty or graduates from school you00:43:25
be sure to subscribe00:43:27
subscribe to every aggregate00:43:29
types and teaches Uday00:43:31
a huge number of internship companies00:43:33
body and many even00:43:36
for the money but there from 40-60 thousand is enough00:43:40
can be found00:43:44
so what am I00:43:45
I think it's time to answer00:43:48
questions about the profession so I don’t chat00:43:53
I was monitoring and I see out of the corner of my eye that there are questions00:43:56
I monitored a lot of java in this regard00:43:59
Of course I will help not the most for likes00:44:02
questions: what is the difference between a bioanalyst and00:44:04
all of the above00:44:07
so below question is actually this00:44:12
just an analyst you can do it like that00:44:16
classify in our triangles00:44:19
Analysts can just be an analyst too00:44:22
there are different types of system analytics00:44:26
there are product analysts there00:44:30
people who respectively00:44:32
specialize in various subjects00:44:33
areas someone is optimizing00:44:36
someone analyzes business processes as00:44:39
you can improve the product, increase it00:44:41
sales so on here in our00:44:44
classification from the top tight and this00:44:46
upper00:44:47
blog is an analyst00:44:50
which of the above00:44:53
the simplest specialties00:44:56
I think dat engineer and analyst00:44:59
A00:45:00
how to present your work correctly00:45:03
to the employer00:45:07
there is a site called get help where are you00:45:10
you can post your work00:45:13
this is what I recommend doing00:45:15
small pdf document00:45:19
assets and briefly describe those projects00:45:22
which you00:45:24
were engaged and give the children just links00:45:26
to the source code this is where you describe00:45:29
how are you, well, first of all, setting tasks you00:45:32
you do what you decide secondly what00:45:35
you chose the metric so that it is not him00:45:39
emphasize what we met00:45:41
methods00:45:42
used and how and which one you chose00:45:44
further00:45:46
this is one of the most frequently asked questions00:45:49
general questions we have at intensive courses do the00:45:53
silence is about remote work, come on00:45:57
immediately differentiate the question here00:45:59
for sure that if there is a seagull there, the senora00:46:02
Demidov, I think there are problems with the defense industry00:46:04
there won't be any for the Junes, let's go here00:46:06
limited to June get a job remotely00:46:07
is it possible or is it still a myth?00:46:12
there are some vacancies but there are none00:46:15
much much less that's basically00:46:19
companies want to see, well, sort of00:46:22
integrate your wife into your sphere00:46:25
that's why people choose to communicate more often00:46:27
exactly in person, but again it’s necessary00:46:29
look individually, that is, as a whole00:46:32
you can run around the office there for the first time00:46:34
there's still some kind of probationary period00:46:36
not an internship yet, then if something happens, leave00:46:39
well, or for a hybrid there, two days in the office there00:46:42
three days rattled at all remotely possible00:46:44
will take a lot of time at first00:46:45
fall in love and00:46:50
Here's another frequently asked question00:46:53
regarding ageism and in general how much00:46:57
to what extent is there any threshold for entry into00:47:00
profession according to age, that is, conditionally00:47:02
if I'm already there00:47:03
for fifty years there, for example, I was there all the time00:47:06
life worked as a lawyer then took and00:47:10
I realized that I still want to be00:47:12
I want to work as an analyst in Data Union and00:47:15
I come but I learned it in a year in courses00:47:18
or on YouTube or there I got the tower in00:47:20
As a result, I come to work one more time and I00:47:22
they say that you are so old00:47:24
no sorry turn around and red that's it00:47:26
still something from the past now and so not00:47:28
look at age00:47:31
but look now career is a set00:47:35
skills is, let's say, your portfolio00:47:37
I don’t have the skill you have00:47:40
case 50 year old I flight then I have00:47:43
case of a forty-year-old team of lawyers00:47:46
and he used his experience to00:47:49
to build models that are sought in00:47:52
texts personal data and he himself00:47:55
does his job better because he00:47:58
really good at this00:48:00
everyone is doing this work tour than me00:48:03
the person who hates reading life00:48:06
legal text that's why you're here00:48:10
you need to think about your experience00:48:12
integrate like 3 go the most00:48:15
smooth new sphere and so I tell you00:48:17
I recommend not quitting your old job but00:48:20
try and apparently automate with00:48:22
with help, maybe you can do it yourself00:48:24
increase your salary there00:48:27
simply by increasing your efficiency by00:48:29
current we work together maybe you and00:48:32
there as my leader at one time00:48:34
become the head of the development team00:48:37
actually create your project00:48:40
there are a huge number of options here00:48:42
the main thing is to show your imagination00:48:46
here's another for liking and to the question how much00:48:48
often meet analysts without knowledge00:48:50
square and python, that is, where the alloying00:48:52
programmer his requests00:48:58
but an analyst without knowledge00:49:01
and tons of this is quite often the history of python00:49:04
it's like an analyst with a plus sign00:49:07
asterisk00:49:08
here’s an analyst, well, there are analysts of their own00:49:12
tools00:49:13
there for example and at rubio and xl00:49:16
what else is there the blue00:49:20
package statistics and so on here I would00:49:24
recommended you to study python if you00:49:26
want to become advanced skillfully com00:49:29
the moon in the forest made of helium is generally very00:49:32
sad I'm afraid this is a summary for us00:49:34
definitely didn't look 0 when I entered00:49:37
whiskey disqus is not very complicated at all00:49:39
on request00:49:42
it is used in many places and it will be00:49:44
some hygienic minimum even in that00:49:47
in case you are not the person who00:49:50
administers for two summers00:49:52
ok, so I figured out the python here too00:49:56
I don't know why there are so many today00:49:57
questions about Java but actually how00:50:00
at least three already there, is it possible to be00:50:03
Is java even used by a dentist?00:50:06
java in this area00:50:08
theoretically possible, but not so convenient00:50:12
there are you will need many packages there00:50:15
implement many functions00:50:16
do not do it yourself temporarily in python00:50:19
have already been implemented plus due to the specifics00:50:21
language so you can see00:50:24
result on djali you need to run00:50:25
the whole project and it's very large steel00:50:29
it may take a day for example to get there00:50:33
the whole program has worked, after which you00:50:35
you can change there in the middle of some00:50:37
a small piece to see what00:50:39
Python has changed, it's a scripting language00:50:42
perform line by line and you00:50:43
can you program at some point00:50:45
stopping doesn't change anything00:50:48
click and move on it saves00:50:50
a huge amount of time and precisely in00:50:52
sphere she00:50:55
so friends, I see that there are simply questions00:50:58
flies and flies non-stop a lot00:51:01
I'll warn you right away, we're not going to do this00:51:03
We'll answer of course, we don't have time00:51:05
that's enough, she's flying there, that's why00:51:08
Now we're done with the questions00:51:10
let's move on to our usual break00:51:12
Let's rest a bit and digest the information.00:51:15
which they have now received from this place and00:51:17
already with practice we will enter so to speak with00:51:20
with renewed vigor therefore if you don't mind00:51:21
Anastasia I'll take you screen demo00:51:23
you can already remove it00:51:25
super, so I took everything, it means friends00:51:28
now we will have what I promised myself00:51:31
at the beginning there is a short information pause00:51:33
for about 15 minutes where just00:51:36
I’ll tell you something special about this button00:51:38
proposal and what we have00:51:41
in data science skill box with us00:51:43
spoiler of course there is a course this site00:51:46
Without this you can’t go anywhere, so let’s actually00:51:48
Let's not delay, I'll open mine right away00:51:51
amazing presentation overall00:51:53
I would like to say we have a course that00:51:55
that's the name of the profession dat ass on00:51:57
I'll say this right away, that's enough00:52:00
great program probably one of the most00:52:02
we have big ones00:52:04
skillbox she's really meant to be00:52:06
for those people who want to change00:52:08
profession, that is, to enter precisely career00:52:11
into the field of data science, that is, here we are00:52:14
in this course we provide employment assistance00:52:17
and now we also guarantee00:52:20
employment under this program or00:52:22
we will return the money details about this you can00:52:24
on our website fans steal from mine00:52:26
colleagues career consultants and just00:52:28
now I’ll tell you about them too, plus on this00:52:31
course there is also a deferment of the first00:52:33
payment up to six months what is it00:52:36
means that you can even tomorrow00:52:37
start learning get there00:52:40
first rights skills are possible if you have00:52:42
there it will turn out I don’t know who already has them00:52:43
monetize for example and let's say from these00:52:46
money to pay for your education, that is00:52:47
first monthly payment for studies00:52:49
in this course you can do as much as00:52:51
six months and what exactly do we tell you?00:52:54
we propose to do we propose to pass00:52:56
click on the special offer button00:52:58
bright blue button under our broadcast00:53:00
what does it give? I’ll warn you right away, it’s not00:53:02
registering for a course it's not like there00:53:05
redirect to the payment page immediately00:53:07
something no, it's just a possibility00:53:09
sign up for a free career00:53:12
consultation, that is, my colleagues00:53:14
career consultant here is great00:53:16
work experience they will contact themselves00:53:17
absolutely free will answer yours00:53:19
questions regarding general direction date00:53:22
they themselves will be able to advise00:53:23
advise there based on your00:53:25
some previous work experience based on00:53:27
from your wishes the goals are there somehow00:53:29
guide the natural along our course00:53:32
advise give detailed00:53:34
tell the course program in detail00:53:36
this is us for payment according to organizational00:53:38
points about the training itself and if you00:53:42
really interested in this00:53:43
training program you can ask00:53:44
after the consultation is free and again00:53:46
free trial access to this00:53:49
watch the course yourself first00:53:51
video lessons from this course evaluate there00:53:53
quality material material supply00:53:55
understand in principle whether it is suitable or not00:53:56
book is suitable for the training format we use00:53:59
at starbucks we provide high after00:54:01
such consultation after such00:54:02
test access will already be clear in00:54:04
First of all, should you go to00:54:06
datasource is actually worth it and not00:54:08
It's worth starting training with us skillbox00:54:10
let me show you when the application is left00:54:12
so that it is visual and some00:54:14
view click on this one00:54:16
button they take you here to00:54:19
this is the page with the form where you are00:54:21
just enter your contact details00:54:22
your name must be correct and number00:54:25
telephone so that we can reach you00:54:26
calls there to advise you and00:54:28
correct email address where we will send it00:54:30
all the necessary information is there00:54:31
this is the detailed course program00:54:34
presentations there in these areas00:54:36
test access they are also sent00:54:37
email all this was entered00:54:39
press the receive button and complete the application00:54:43
sent tomorrow my team will contact you00:54:44
colleagues career consultant and who00:54:46
they will answer your questions and give you everything there00:54:48
necessary additional materials00:54:50
in the meantime you can pay attention00:54:53
you fall here on this page00:54:55
sales this page is closed for00:54:57
participants of intensive courses and webinars here00:55:00
you can do it yourself00:55:02
see all our main programs00:55:05
learning to immediately see how much is there00:55:07
share this or that course if there00:55:09
What kind of employment assistance is there?00:55:11
options for installment deferments are possible00:55:13
even expand the sample program00:55:15
see here everything is written here00:55:16
absolutely completely and in general you00:55:19
you can see here that we have two00:55:21
classifications00:55:22
there are courses, this is exactly the profession00:55:25
those courses that last there for 200:55:28
where you really learn from scratch00:55:30
there with subsequent employment there is00:55:32
small courses last two to three months00:55:34
Where are you00:55:35
you can teach a specific pathology00:55:38
for example, if you already work in the field00:55:39
you need something specific here you can00:55:41
there might be something to see here too00:55:43
find a smaller one for yourself if you don’t want it00:55:45
It takes so long to study there, for example, that is00:55:47
Well, how do you study everything here?00:55:50
climb I think there is some answer for00:55:52
you will find yourself here I hope everyone00:55:54
It’s very clear to get to this page00:55:55
free consultation00:55:57
I'll just briefly tell you about this course.00:56:00
profession this site was just simple00:56:02
approximate understanding of what in general00:56:03
you will encounter if you visit us on this00:56:05
course to study well, actually here in00:56:08
try yourself in the role00:56:10
dates of engineer analyst and specialist00:56:13
wave ronning here all three00:56:15
your directions will be considered in00:56:16
further choose what you are into00:56:19
you will go deeper and in general00:56:22
there are more than 20 thematic modules and00:56:25
there are more than 120 video lessons there00:56:28
twenty-odd practical works but00:56:31
again, all these numbers will be00:56:32
vary from the direction you choose00:56:34
but in general the approximate numbers I think you00:56:37
you know, the training track itself looks like00:56:39
This is roughly how we start00:56:41
in any case, from the very basics, or rather from00:56:44
fundamentals of statistics and probability theory00:56:46
after that, move on to the basics for00:56:50
math for the summit if you suddenly00:56:52
you worry that you don’t know at all00:56:53
you'll start math right here with00:56:56
school curriculum and remember for it00:56:58
you don't have to worry after that00:57:00
skip to the introduction00:57:01
directly into the data scientist himself after00:57:03
you will already be so advanced00:57:05
level of fundamentals of statistics and theory00:57:06
probabilities and further with understanding of the matter00:57:09
you will decide where it is better for me to go00:57:11
into the car lening dates by an engineer or dates00:57:14
we actually choose the analyst already00:57:16
the direction in which you will go deeper00:57:17
and actual further track training00:57:19
will depend on your choice00:57:21
As a result, you will have several projects00:57:24
here is one of them this practice00:57:27
directly there on real problems00:57:29
that is, you will have several commands00:57:32
several individual projects00:57:33
projects and in fact you come out straight00:57:34
fully armed to virtually00:57:36
teeth like that00:57:38
a dentist who can calmly00:57:39
arrange speakers for junior positions00:57:41
course on your screens if you are following us00:57:44
long time to follow this for sure00:57:45
some of them already know this00:57:47
really top data analytics00:57:50
dentists and there are various team leads00:57:52
who really butt big00:57:54
experience that has something to do with you directly00:57:56
let's say share, well, let me remind you again that00:57:59
if you have any questions about this00:58:00
course I want this detailed program00:58:02
see you want to hang out in general00:58:04
consult for directions00:58:05
site, don’t forget to leave a request00:58:08
click on the special offer button00:58:10
since it's all absolutely free00:58:12
and how does the training itself go so that00:58:14
there was a rough understanding everything looks00:58:17
as follows you are viewing00:58:19
video materials video materials all before00:58:21
recorded, that is, you are available at any time00:58:23
go to the platform in your personal00:58:25
office, watch these video lessons on00:58:27
don't do the practice practice you00:58:29
submit it to your supervisor for review00:58:31
which guides you along the course, the gates of all this00:58:33
the matter naturally checks and gives00:58:35
feedback on your tactical00:58:36
work but plus more from the test answers00:58:38
your questions, that is, lead them00:58:40
contact your supervisor directly00:58:42
one-on-one in your personal account00:58:44
important point since we have all video lessons00:58:47
pride records that you regulate it yourself00:58:50
the duration of your training that is00:58:52
if you really have a lot of time00:58:54
for studying you are ready there every day00:58:56
sit on the platform for several hours00:58:58
learn to do super practice00:59:00
complete the course faster, that is, you can00:59:02
it's really time to finish00:59:04
earlier than two years processing us here00:59:06
indicated on the website or vice versa if00:59:08
you are catastrophically short of time00:59:10
enough but you work out less often than anything00:59:12
terrible there is an hour a week in general or00:59:13
even less in this regard we do not limit00:59:15
but it is important to understand that of course00:59:17
way you can train yourself very00:59:19
greatly extend access to materials00:59:21
rates fell forever, that is00:59:24
even after completing the training00:59:26
got a certificate there already00:59:28
got a job you're still working00:59:29
you can enter the platform from the street00:59:31
office, for example, there to repeat some00:59:33
Possibly forgotten topics, but here it is00:59:35
Our platform looks like this from the inside00:59:37
This is what the modules themselves look like00:59:40
look video tutorials you can quickly00:59:41
there to evaluate the quality of the picture therefore00:59:44
screenshot but again I repeat that00:59:45
after00:59:46
You can consult with my colleagues00:59:48
just ask for a free test00:59:50
access and see these for yourself00:59:53
video who is the curator who will be00:59:55
the curator will guide you through the training00:59:57
active practitioner, that is00:59:59
a person who works in the field01:00:01
which you are studying in particular01:00:02
works that's in this there and01:00:04
naturally all the knowledge that you will01:00:06
obtain this knowledge relevant to the market01:00:08
labor at a given time plus01:00:10
We have implemented a care service for everything01:00:12
our prompt technical support01:00:14
that is, people who will help you01:00:16
advise on any issues01:00:17
technical or even motivational01:00:20
character and of course our community01:00:23
We already have enough users01:00:25
huge, let's just say that's what I'm talking about01:00:27
started talking more than three hundred thousand01:00:28
people in every direction we have01:00:31
closed telegram chats have been implemented there01:00:33
all users communicate with each other01:00:35
shares with some of his own chips01:00:37
someone has already completed their training01:00:39
got a job can share01:00:41
some kind of life hacks I don’t know01:00:43
which I used in interviews01:00:44
when he, well, creates everything from dough01:00:47
work environment around you right during01:00:49
learning, not to mention the fact that you01:00:50
just make useful contacts01:00:51
among like-minded people and perhaps01:00:53
future colleagues, well, of course, personnel01:00:56
consultations are also waiting for you01:00:57
the career center will already be during01:00:59
training to build further with them01:01:01
steps to employment01:01:03
learn to pass an interview well and in01:01:05
generally build your goals on01:01:07
your future career will be01:01:10
approximately this is the rhythm you can01:01:11
quickly assess the quality there01:01:13
number of stylus upon leaving the course01:01:16
again, let me remind you that it will be01:01:18
vary depending on01:01:19
which direction will you go deeper?01:01:21
as you progress, of course you will have01:01:23
There’s also a lot of practice to go out, including01:01:25
this is the portfolio I was talking about01:01:28
Naturally there will be a certificate from skillbox01:01:29
which at the documentary level01:01:31
confirms that you have finished with us01:01:33
data science direction and herself01:01:35
employment as she looks to you01:01:37
the career center handles them for you01:01:39
will prepare a resume portfolio for you01:01:41
prepare tests for interviews01:01:42
You will be interviewed if necessary01:01:44
will be looking for vacancies for you, that is, they are for01:01:47
they are looking for you, they find you, they make an agreement01:01:50
organize the interview in principle01:01:52
do you need only for the interview01:01:54
come or conduct via video conference01:01:57
if this is a remote vacancy now for01:01:59
For many this is the most relevant01:02:01
work option and again let me remind you that01:02:03
if you have any questions about01:02:05
employment there with pay01:02:07
Do you just want to learn in general?01:02:09
consult in the direction of this01:02:10
website or maybe some01:02:11
find alternatives to this direction01:02:14
feel free to leave a request for01:02:15
free career consultation01:02:17
special offer button main01:02:20
question let me answer it quickly01:02:21
how much does training cost how much does it cost01:02:23
coco course pay money full price01:02:25
profession course is the best site about together01:02:28
with teachers with garden practice01:02:29
projects and employment there01:02:32
exactly 777 comes out to three hundred eighteen01:02:34
thousand 176 rubles is the full cost01:02:37
this course but again if you01:02:39
closely watched my01:02:42
a page of smeared screens was seen as01:02:44
I'm studying the members' sales page01:02:46
from the intensive, they probably could have noticed01:02:48
that this course is available at a low discount01:02:51
Katan is quite solid 50 percent01:02:53
before it turns out for all those who us01:02:55
looks online who passes this01:02:56
intensive final cost of the course turns out01:02:59
159 thousand 88 rubles is the total01:03:03
the cost of those who watch us live01:03:05
broadcast or whatever is more pleasing to the ear01:03:08
5131 rubles per month according to our programs01:03:11
installments and don’t forget that01:03:13
installment plan, your first payment will only be01:03:14
in six months add more to this01:03:16
additional gifts for participants with01:03:18
intensive first of all this course is a gift01:03:20
secondly, this is the year of the English language in01:03:22
gift for our platform with01:03:24
individual sessions you have it all01:03:26
there will of course be a gift for01:03:28
participants of the intensive to whom I spoke in01:03:30
at the very, very beginning and siru this is a discount in01:03:32
10 thousand rubles for any of our programs01:03:35
training, including this one, just for01:03:37
what you are leaving is just a request01:03:39
click on the special offer button01:03:41
since this discount is summed up with01:03:43
other discounts and special offers01:03:44
including closed sales and01:03:47
you can repay up to half of the total01:03:49
the cost of any course for this is calm01:03:52
you can get this discount for this course too01:03:54
apply a very important remark that's all01:03:57
these are additional gifts there01:04:00
gift course this is English this is01:04:03
this discount of 10 thousand rubles is a guarantee01:04:05
employment or money back all01:04:07
this is valid for members only01:04:09
intensive course only for those who pass through01:04:12
no special offer button01:04:13
leaves a request from somewhere on the site01:04:16
just click on the special offer button01:04:18
and only until July 15th we are now very01:04:21
interested in faster01:04:23
recruit streams of new users01:04:24
because now it’s summer and everyone has no time for school01:04:28
I think you understand this perfectly well and we do01:04:30
Naturally we understand perfectly well that01:04:32
I don’t really want to study now, so01:04:34
we are now filling up various kinds01:04:36
gifts and actually you can just01:04:37
we get caught in this downpour on this I01:04:40
I'm finishing up my little drink01:04:42
I hope there was information for someone01:04:43
useful I really hope no one01:04:46
will treat this information in some way01:04:47
skepticism heretical neglect there01:04:49
will definitely try it01:04:51
We’ll advise you on testing our simple01:04:53
platform and I, on my own behalf, summarizing that01:04:56
all the questions you have01:04:59
can and should be taken to a career01:05:01
employment consultant01:05:03
delays deferments of elective education01:05:06
directions again it's all free01:05:08
it doesn't oblige you to anything it doesn't01:05:10
some kind of registration for a course or something else in01:05:12
this kind of thing is just such a step from us01:05:14
towards you so that you can01:05:15
get to know the direction in general01:05:17
date site naturally with our courses from01:05:19
with our product you are already01:05:21
made a cult of output to our platform01:05:23
Of course I hope this conclusion will be01:05:24
positive, well, if you really want it01:05:27
ask live also ask01:05:29
I don't forbid it, I'll try to answer01:05:31
these questions are enough for my knowledge but01:05:34
not now now let's move on01:05:36
content I think you are all ready01:05:38
everyone had already rested at the end according to the monitor with01:05:39
I'll try on them if I have such glasses01:05:41
answer well, Anastasia, I urge you01:05:44
take you back to the broadcast from01:05:46
take the reins of the airwaves and let's01:05:48
continue01:05:52
so I'm here01:05:56
Well, let's move on to the content into parts01:05:59
in our practice we01:06:01
We will work with you in this environment01:06:05
which is called google call from not in vain01:06:08
I asked you at the beginning of the webinar01:06:13
you have a google username and password01:06:17
drive01:06:21
I will ask the organizers to fix it in01:06:23
part of the broadcast01:06:28
to work in this file you need to click01:06:31
file button save a copy to disk01:06:34
after that you will have a copy which01:06:37
you can01:06:41
modify and work with them01:06:46
I’ll make a reservation right away that our intensive course is not01:06:50
designed for you to repeat01:06:52
is this real time or what01:06:54
you will become a character dentist01:06:58
its results it is designed for what you01:07:01
do you understand what this code does?01:07:03
idea of the profession dat ass in01:07:05
this then you understand approximately what01:07:08
skill set needed01:07:11
and actually I wanted to show that01:07:14
tools01:07:16
minimal arrogance because now01:07:19
the most complex mathematics is already programmed01:07:22
inside libraries and volume01:07:25
as homework tomorrow01:07:27
there will be an exercise like change this one01:07:31
and this line to get01:07:33
some result that's why I01:07:35
I urge you to pay close attention to what01:07:38
preferably occurs together with a notebook01:07:40
to make some notes for yourself01:07:44
you will have this working file01:07:47
notebooks and where I tried everything01:07:49
structure as much as possible and each01:07:51
describe the steps in detail here01:07:54
the end of today will be given01:07:56
a little self-test exercise01:07:58
so you can make sure you understand how01:08:00
works like booking how it works01:08:01
concrete and tomorrow there will be a competition for and01:08:04
homework01:08:09
So01:08:12
I have the same link to tetra of course01:08:15
The broadcast is a little late01:08:27
so why the country I won’t be too much01:08:30
wait01:08:32
so I see all the same on the links01:08:35
did not send01:08:38
you can have sausages at night on skype01:08:40
I’ll duplicate it in the chat as pinned01:08:46
OK then01:08:52
literally01:08:56
in one second01:09:01
we have the domain now01:09:04
us01:09:09
I have to show up01:09:13
So01:09:16
why is there a link even I can already see it01:09:19
you follow this link click on01:09:23
upper left corner of the file save a copy01:09:26
on disk01:09:32
what you see is called the working tee01:09:35
angle like olap it consists of text in01:09:39
text blocks and code blocks01:09:41
which is just executed line by line01:09:44
line01:09:46
here are the blocks with the code you can01:09:48
launch01:09:49
indicated by the launch icon on the left01:09:54
green01:09:56
the hash marks on the beginning of the line are indicated01:09:59
comments that are ignored by python01:10:02
this is for you and me, a person to be a friend01:10:06
communicate with a friend understands what the code is01:10:08
does01:10:10
and so the most minimal program on01:10:13
food actually takes one01:10:16
line it can have one line well01:10:20
For example01:10:24
51 or let's write print01:10:28
hello hello01:10:33
this is already a full-fledged program01:10:38
the first launch is always a little bit01:10:39
slows down will load now01:10:43
before execution and further will be fast01:10:46
in order to place a new cell with01:10:50
code you need to click on the icon + code on the left01:10:55
So01:10:57
variable01:11:02
This x y and z in school formulas01:11:07
and the line in not one expression in many01:11:12
programming languages need parentheses01:11:13
or semicolons this is not necessary01:11:16
you are just splitting the expression01:11:21
the news is like this01:11:27
now we can write01:11:29
these are the scripts that will be very01:11:32
similar to mathematical formulas01:11:37
let's see what we got01:11:40
So I launched a cell and I want01:11:43
see what is in the variable01:11:45
I just cut it in a new cell for this01:11:48
I write the name of this variable and when not01:11:50
I got it I'm doing it01:11:54
obsessed with this variable and ends up in01:11:56
the window that appears01:12:01
today we will analyze limited01:12:03
Python functionality is only those01:12:05
structures that we need for01:12:07
in order to write models tomorrow01:12:09
That's why we don't have machine learning01:12:11
will be a function of some complex structures01:12:14
type of dictionaries, please understand in advance and01:12:17
sorry we will use it01:12:19
practically01:12:22
expressions no more complex than a equals b01:12:27
all the complicated math01:12:29
we will be all that is special01:12:32
libraries01:12:34
what we need from python is here01:12:38
understanding the concept of this list01:12:44
sand is some set of variables01:12:48
we can write the data set here01:12:53
I can even fit a few numbers here01:12:56
variable x and y01:13:00
the list is written in square brackets01:13:03
elements are listed separated by commas01:13:08
that we have a memory needle x and y we have01:13:12
transformed into those meanings that01:13:15
lie in these changes01:13:17
what else do we need01:13:20
this is a special data type that01:13:23
called on or something01:13:29
it is needed to fill in data01:13:32
in which there is a pass, but for example01:13:36
we have01:13:41
measuring the temperature outside at some point01:13:45
day the thermometer broke, it's a number instead01:13:48
we won't put 0 here because 001:13:51
this is also the correct temperature for us01:13:55
there are frosts 0 minus 1 and so on01:13:57
so we use a special character01:14:00
which means that the data we have in01:14:02
in this case no, that's what it's called01:14:05
resilin01:14:06
reserved word for development and01:14:09
boats like this immediately highlight for us01:14:13
color01:14:18
and in memory oh it’s still preserved as but01:14:22
not that01:14:25
in some languages there is an analogue that01:14:28
tightened01:14:30
not a number and01:14:34
etc01:14:38
to read01:14:41
this is one element that sometimes we want01:14:44
work01:14:45
the rest receive01:14:48
information from a specific01:14:51
some specific cell, for example me01:14:53
I want to see what the temperature was01:14:55
on the second day01:14:57
for this I use square again01:15:00
bracket but pay attention here already01:15:02
there is no equal sign therefore in this01:15:05
context the square bracket will be01:15:06
mean exactly a request of some kind01:15:08
element by its number01:15:13
in many programming languages01:15:15
numbering of elements starts from zero01:15:21
that's why we have an element with index 001:15:26
1801 23 and the third one is not there, we just have a dream01:15:36
The main thing for us to remember with you is for01:15:38
future that we have lists that01:15:42
combine several meanings01:15:46
we need it to draw01:15:48
graphics and work with real data01:15:55
if we work today01:15:57
using the matplotlib library it is the simplest01:15:59
there are more advanced ones in python01:16:02
beautiful taxes well for example yourself horns01:16:05
or flesh, here's a detour for us like this01:16:08
basic base for it01:16:10
to use you need to write something like this01:16:13
an expression that speaks to our environment01:16:15
developments about what we want01:16:17
use some library that01:16:20
they are hardwired into the original functionality01:16:24
Python for this I write the word import from01:16:27
connect matplotlib libraries01:16:30
pack a piece of fruit and give it a short name01:16:34
penza please note that you01:16:38
find a mistake on Mr. case if you01:16:41
will execute this cell01:16:44
how to understand that a cell is completed or01:16:47
a green tick appears like this01:16:51
so how to draw graphs using01:16:54
we pass this library in the list01:16:57
x coordinate x equals let's01:17:01
12345 and y-axis list01:17:06
some random numbers01:17:11
this is for me to draw a graph I'm from01:17:14
foam libraries that can here01:17:16
connected call the fruit function here01:17:21
Here . which says that this object01:17:23
the box in the previous one is like slash for example01:17:27
/ in the address bar01:17:31
here01:17:34
. that's not what it works for.01:17:38
And01:17:39
functions I pass parameters x and y01:17:46
and we are drawn01:17:48
why the hell is it not even by chance01:17:50
it turned out symmetrically01:17:53
This library is very convenient to configure01:17:58
and here is even the picture that I gave you01:18:01
I’m showing this one at the very beginning, me too01:18:04
generated using the library we01:18:06
liebe stronghold and then saved as01:18:09
picture and if you are interested you can here01:18:12
run this code and figure out what01:18:16
here it is01:18:18
what does each mean?01:18:19
[music]01:18:20
each parameter01:18:25
this is for those who are especially curious01:18:29
Well, let's work with real ones already01:18:32
data01:18:35
today and01:18:36
come and days we will be with you01:18:40
work with the weather archive for Moscow01:18:45
the data will be taken from this site01:18:47
rp5.ru01:18:50
take a sign like this, they are kept01:18:53
there is an atmospheric temperature here01:18:57
pressure at station level at level01:19:00
grief and so on was here somewhere. once01:19:04
you woman relative humidity01:19:07
maximum air temperature01:19:09
[music]01:19:11
even visibility range01:19:20
it is in order to download this but on01:19:24
in fact, there is no way for you to edit the code01:19:26
I just need to show him where I am01:19:27
I took it and went to the download archive tab01:19:30
weather selected the desired range here01:19:34
in our case it was01:19:36
2016 to 2020 1 year01:19:48
then I chose this format, those are all light01:19:51
and utf8 encoding01:19:55
sting [music]01:19:58
so knob01:20:00
file01:20:06
and what club bar has 16 tons01:20:13
for beauty01:20:19
the start button appeared, after which I01:20:22
copied the link address and pasted it01:20:25
him right here01:20:26
you can choose another city01:20:30
Well, I ask you to do it in mode01:20:33
offline so as not to fight now01:20:36
What are the errors in this code in full?01:20:38
working it just needs to be launched01:20:42
here using the library01:20:46
clip we request data from the Internet01:20:51
we convey, well, first of all, please pay attention to ru01:20:54
attention to quotes quotes01:20:56
the text is framed so as not to01:20:58
confuse it with elements of language like01:21:01
name of function variables01:21:03
reserved words and so on01:21:05
after this cell is executed01:21:10
an archive appeared in our workspace as01:21:14
times with a text file where it is stored01:21:18
our sign is still in archive format01:21:21
jay-z01:21:23
folder sample beat then appears01:21:26
automatically01:21:27
you don't need to pay attention to her01:21:30
it doesn’t stop us from deleting it no, the main thing is01:21:33
what we have in the working directory01:21:35
this file if you see it here01:21:37
tick01:21:39
but the file didn’t appear here01:21:41
try it with this one01:21:44
update icons01:21:47
work area and so fresco than c01:21:51
further we read it using01:21:56
the British library which gives us01:21:58
will replace xl library called01:22:01
pandas01:22:04
like pandas01:22:07
we will use the format which01:22:10
called tfp and you can more01:22:12
Read in detail in the documentation on01:22:15
English if you're scared01:22:17
English you can just copy and01:22:20
you can paste it into google translate01:22:23
download some utility for example01:22:26
Yandex translator who will be for you01:22:28
In general, it’s not possible to translate the entire page directly01:22:31
be afraid of the English language this is a problem01:22:34
there are no automatic translators right now01:22:37
works great01:22:40
finished for speech flock01:22:45
the same as the code01:22:47
we have the pandas library01:22:49
turned off with key and abbreviated01:22:52
we eat in name01:22:54
and read the table variable data01:22:58
What do these parameters mean?01:23:04
part I delete the first six lines from01:23:06
comments01:23:08
which to us01:23:10
extra data arrived along with the data01:23:14
I choose the encoding in which I downloaded01:23:18
remember I manually selected here01:23:21
utf-8 encoding01:23:26
our file is in jezik format01:23:31
we have a separator01:23:35
Thai and I ask you not to read01:23:39
quality but don't read the first column01:23:42
like doc01:23:45
our file name is the same as one of them01:23:47
better. those flower jay-z01:23:52
this is where I draw your attention to01:23:53
what in fact this whole notebook is01:23:56
one big program on concrete is to01:23:59
the question of whether it is possible to write both ron and01:24:01
network on joe you can but in food01:24:04
precisely the study of this01:24:06
prototyping proposals is done01:24:08
much more convenient thanks to the fact that we01:24:10
we can pick apart programs like this01:24:12
And01:24:13
fulfill01:24:16
small block of the day01:24:19
I connect the library01:24:20
I'm reading this file01:24:24
How do we have a complex object lying here?01:24:26
like dataframe then I can take from it01:24:31
attributes and functions attributes but this01:24:35
some properties01:24:37
this file for example collins oh head01:24:43
this is the function that we need to print 1 1001:24:46
lines01:24:51
This is what our sign looks like01:24:54
first column local time in Moscow01:24:57
then went temperature pressure on01:25:00
sea level01:25:02
and so on to see01:25:05
designation01:25:08
what does each column represent?01:25:10
human language01:25:12
need to01:25:15
insight or just click on01:25:18
hover the mouse over the desired column01:25:21
now with this table we can01:25:25
work the same as with Excel01:25:28
By the way, please note that in the data01:25:31
many gaps for some columns01:25:37
him to the notes for us and this is just one of01:25:40
variations01:25:41
filler01:25:44
for tables when we don't have data01:25:51
onda01:25:53
m on attributes01:25:57
as an example, the shade gives us the dimension01:26:00
in our table in this table I am 1500001:26:03
lines and01:26:05
29 columns01:26:09
brady list of these columns01:26:16
they represent words01:26:18
Yandex type object but already inside01:26:21
familiar list01:26:24
and this list stores01:26:28
mountains of texts01:26:31
be separated as single quotes well01:26:33
so and double that's why everything is here01:26:35
correctly01:26:38
and let's see what's in the column01:26:40
the temperature for this is very similar to that01:26:43
how I extracted by element number01:26:46
list element we extract the entire01:26:49
column by its name01:26:53
and we are used to using this logic01:26:57
that we are extracting data from the table01:26:59
It's okay that we can first look for the right one01:27:02
line and then the desired column for states01:27:05
frames it works a little differently we01:27:08
we first take this one from column a01:27:12
then if the line numbers01:27:17
when we printed out the entire column we01:27:19
we see that this is also a complex data type01:27:21
on the left we have the line number will give a lot with01:27:25
zero01:27:29
rock ours and to the right of the number01:27:34
hero from line number01:27:36
value in degrees Celsius given01:27:39
case01:27:42
at 3 temperature in a specific line i01:27:45
I take the column name first01:27:48
then the line number01:27:55
but search data by line number01:27:58
it's awkward so let's do something01:28:00
let's do it with dates so that01:28:03
it could be01:28:04
search for data automatically01:28:07
we need to process it a little01:28:09
trick01:28:13
I'll give you a new column Dec01:28:17
there [music]01:28:21
m01:28:22
from the column called local time01:28:27
and then a long text01:28:39
what does this line do why am I extracting01:28:43
the army doesn't need speakers01:28:46
I have their pandas function there and China01:28:50
I forget to pass here the parameter d01:28:53
and sisters natru because initially01:28:55
python is trying to read this01:28:58
American format that is the beginning01:29:00
rot from sweat a day we have the first day01:29:04
then a month because of this drama can01:29:06
be a prostitute in some places, for example there 501:29:10
July until 05 07 or is it May 7th for this reason01:29:15
so that there are no such collisions, we explicitly01:29:17
we say what needs to be taken into account first01:29:20
day comes first in our data01:29:24
after that we can print01:29:27
our temperature graph on the x axis ours01:29:31
the dates are already digitized01:29:39
along the y-axis the temperature given in the column01:29:44
or the function already familiar to us: drink the fruit01:29:46
this is what our graph looks like01:29:53
what does a normal analyst do?01:29:55
date seconds before building01:29:57
what kind of forecasts does he look at?01:30:00
a percentage of the data is available to us if01:30:03
we will look at this with the naked eye01:30:06
a table of column data, for example rr01:30:11
so what is this01:30:16
quantity01:30:17
precipitation millimeters01:30:20
physically little filled01:30:23
So we need to see what we have01:30:25
temperature that we have according to passes01:30:28
maybe we have 50 percent of the data there01:30:30
missed and we can’t do it at all01:30:32
so before setting up any forecasts01:30:36
to do this I01:30:38
I write down the conditions under which I want01:30:42
parse data and conditions from the table01:30:45
it will be written almost the same way as01:30:47
we would formulate it in English01:30:49
this one is so in01:30:54
temperatures [music]01:31:00
we have empty ladies for eyelids but what01:31:03
empty01:31:06
functions and notice01:31:08
then I retrieve the data according to the conditions01:31:19
so we have four lines out of 15 thousand that’s01:31:24
in general, you don’t even need a screw01:31:25
bother with it and just them01:31:28
delete01:31:31
do it and I'll write it down01:31:34
opposite conditions01:31:39
with let's under01:31:41
shon mc01:31:46
temporary01:31:47
[music]01:32:01
I'll let them use a temporary variable01:32:05
here I will create a new word condition01:32:08
depth01:32:10
from the conditions01:32:12
how not only01:32:17
remove all system I from the table I those no01:32:22
gaps in temperature01:32:28
here and further I or save data on01:32:32
this condition01:32:43
leaving the good floor like that01:32:58
now with this data we can rub01:33:01
again01:33:04
what statistics can we look at?01:33:08
what we are like01:33:10
we want to get data about this sample well01:33:14
usually01:33:16
the first thing they look at is copper01:33:18
minimum maximum and average01:33:22
used for this01:33:26
the same wars and functions01:33:32
like the first one we have maximum01:33:36
mini for you then medium01:33:47
so the maximum temperature is 33 us01:33:50
minimum degrees -30 but on average01:33:54
somewhere plus 601:33:58
why we need to analyze01:34:00
temperature for example if we want01:34:05
build a house in a certain area and01:34:07
we need to pawn01:34:09
heat resistance of materials and we01:34:10
look at possible fluctuations that01:34:12
will be exposed to material but the point is01:34:16
that these values alone are super01:34:19
unstable and because, for example, 201701:34:22
year we have we had a strong01:34:24
pathological temperature spike up to -3001:34:27
the loop of central Russia is well01:34:31
abnormally low temperature01:34:32
it happens once every five years01:34:34
It's more interesting to see what the temperature is01:34:37
most typical for this we01:34:40
let's build a graph called01:34:43
bar chart01:34:47
she will show us the definition given here01:34:51
where is it proud01:34:54
means the value is but let's say 0 degrees01:34:57
met most often and this01:34:59
the distribution already looks like some01:35:02
real data01:35:03
-30 is rare among us plus 3001:35:06
more often but also down not super often like01:35:10
It almost never happens more than 35, but01:35:12
most often the temperature is 0 degrees but then01:35:16
yes if we are going to move01:35:18
Makota it is advisable to buy shoes01:35:21
anti-slip but super01:35:24
frost-resistant do not buy yourself01:35:25
necessarily because it's some kind of01:35:27
a rare event01:35:31
login last01:35:33
I'll tell you the statistical concept01:35:35
quantile01:35:38
or perhaps let me take this to01:35:42
tomorrow's part in order to be on time01:35:44
a little bit of these questions and now I’m there01:35:49
[music]01:35:51
first birthday01:35:56
both01:35:58
our data01:36:02
then let's say yes01:36:04
than 18 years old01:36:12
waist of choice01:36:15
give is written like this01:36:21
date01:36:24
any step and text string01:36:27
I’m glad and it’s clear in American format01:36:29
first month01:36:32
that day01:36:38
I save a new variable ours01:36:41
circumcised01:36:43
and the flame01:36:53
I'm drawing a graph01:36:55
already for so short01:37:00
and I will create new variables immediately01:37:03
So I’ll substitute it or we want the data01:37:06
print01:37:11
so she said 2018 and wrote her own01:37:15
202201:37:19
fetus01:37:21
this is what our graph looks like01:37:23
I'm already clearly here in the seventeenth year01:37:26
you can see this anomaly in the seventeenth01:37:28
year drop to -30 degrees and01:37:32
for you the exercises of the first day it is for you01:37:37
there is no need to take the self-test anywhere01:37:39
and there will be 2 if you would judge or in01:37:42
telegram chat because you can01:37:43
solve in a huge number of ways01:37:46
so you need to trim the data like this01:37:49
way to leave the anomaly graph in01:37:52
201701:37:53
for example tans November 1601:37:57
March 2017 well, this range01:38:04
you and I know how to trim data from one01:38:06
sides01:38:08
as homework for you01:38:10
figure out how to do it yourself01:38:13
combine these conditions01:38:16
you don't have to google anything01:38:19
understand the code that we have with you01:38:21
wrote today01:38:31
and just try to write here again01:38:35
two lines01:38:38
you can do this exercise01:38:41
set the date of the shorts in one line if you01:38:44
and google it, you can and should google it01:38:48
it is very useful for development and it is on01:38:51
really a basic skill for anyone01:38:53
for a programmer this is practical01:38:56
our part ends tomorrow01:38:59
I'll tell you more about statistics01:39:02
methods and we will learn automatically01:39:04
predict temperature using01:39:07
machine learning methods here01:39:09
I offer the remaining five minutes01:39:11
spend on answering questions01:39:13
[music]01:39:14
yes save big Anastasia s01:39:16
I'll be happy to intercept you01:39:18
relay race so to speak and before01:39:20
answer questions as usual with the game01:39:24
a little feedback on these01:39:25
applications and which I told our01:39:27
information break I see that there is more01:39:29
50 people left applications for free01:39:32
consultations01:39:33
it's cool there are really a lot of people01:39:35
they want at least thousand01:39:37
generally interested in consultation01:39:39
in general our platforms thank you everyone01:39:41
a huge ask to all those who left01:39:43
applications here are the buttons write01:39:46
please pluses in the chat so you can do this01:39:49
say identified yes those who are not01:39:51
left requests, we would be very happy01:39:54
grateful if you wrote that I didn’t01:39:55
left a request for a free01:39:57
consultation because, well, actually01:39:59
why did you decide to pass by01:40:01
cocktails have been finalized, these are special offers01:40:04
or its presentation may have been changed or01:40:06
they just did something else for us in general01:40:08
really important because these01:40:09
here are the applications that help us01:40:12
broadcast in a free format but01:40:15
It’s still natural to invite such cool people01:40:17
speakers about the issues that were01:40:22
while studying I saw a couple of things there01:40:27
firstly, a question regarding what is possible01:40:29
Is it possible to complete the courses faster?01:40:32
basically talked about this01:40:34
I apply during our break, that is, and01:40:35
He said that it was possible to complete the course faster01:40:37
at least twice there if you01:40:39
really ready a lot of time01:40:41
give each one a few01:40:42
hours it all depends on you01:40:44
speed you will complete the course and01:40:46
actually what with what success01:40:49
Here’s another important note, I’m not talking about this01:40:52
said but this is important, I think that many01:40:55
is it possible to worry?01:40:58
consult not in mode01:40:59
phone call in text mode there01:41:02
someone to communicate yes you can if you don't01:41:06
whether you want or not there somehow01:41:08
reasons why you can communicate on the phone01:41:10
go from consultants we are there 2001:41:13
gram to email there at home01:41:15
it’s convenient there and will actually take place01:41:17
consultation yes please this01:41:19
don't take advantage of the opportunity unnecessarily01:41:22
because it still complicates things01:41:24
consultation because that's how you01:41:26
We called and spent 10 minutes there01:41:28
ask what you wanted, everyone got it right away01:41:30
he sent all the consultants everything will be fine01:41:32
you are still studying how to01:41:35
he is not comfortable in texting at all yet01:41:37
long while you ask one thing bye to you01:41:39
then another third one will answer her to herself01:41:41
you put spokes in the wheels and actually01:41:43
the consultant also therefore needlessly01:41:45
It’s better not to use this simply because01:41:46
there was still a quick phone call01:41:49
question if any01:41:50
individual01:41:52
I don’t remember exactly what it sounds like01:41:56
the question is verbatim but the point is that if01:41:57
some individual consultations with01:41:59
teacher with curator01:42:01
In general, yes, as far as I know we have01:42:05
There are other training options and here they are:01:42:08
It’s better to check with the career manager01:42:10
just ask the consultant01:42:12
what variations do we have there?01:42:13
how much plant has been added now01:42:15
opportunity to communicate directly with01:42:17
a consultant that's right01:42:19
carry out individual consultations with01:42:20
curator or rather directly individual01:42:22
conduct training consultations01:42:23
that's why beauty consultants are01:42:25
clarify this question with us for sure01:42:27
should have added, well actually01:42:29
Colleagues, no one is monitoring the chat please01:42:31
send me the link to telegram chat01:42:34
our intensive because we already01:42:36
Let's finish let people slowly01:42:38
goes to telegram so I see a bunch01:42:41
let's get some pluses of gratitude already01:42:44
let's move on to the questions and your time is very01:42:45
took a lot01:42:47
quickly, I’ll also say an important remark, I see01:42:50
that a lot of people are sitting in wild shock01:42:52
it's worth a lot of likes on a wild shock01:42:56
friends again Anastasia already about this two01:42:59
I said it once, I'll tell it again01:43:02
intensive yes it is not the same as training and01:43:05
not taught here, demonstrated here01:43:07
what does this or that specialist do there?01:43:10
In particular, he studies Indian01:43:11
what is his well, roughly speaking, routine and01:43:14
can't keep up with the speaker here01:43:16
absolutely normal this step especially01:43:18
if you are a beginner it is quite normal01:43:20
constantly every intensive master01:43:23
happens and for this paint recording01:43:26
air, that is, you are just in the recording in your01:43:28
speed, reconsider all this01:43:30
be sure to try it in yours01:43:32
you repeat after the speaker actually01:43:34
the recording will be directly at the same link, and01:43:36
actually telegram musket look at everything01:43:38
so let's all get me now01:43:40
Let's move on to the questions, I'll also look at01:43:42
likes, which ones are the best for likes, well, that's what01:43:45
I got the one with the likes so far01:43:48
question: what is the difference between google call and01:43:51
google analytics and jupiter laptop01:43:57
yes but google analytics does the panel01:44:01
collect the aggregation independently then01:44:03
there is it's just some it's a set to01:44:05
five o'clock is an opportunity to look and01:44:09
technical data google colab give this01:44:13
the ladder we are working on today and01:44:15
Jupiter laptop is actually the same01:44:18
just the version for your home01:44:21
computer01:44:22
Vodka Kokkola is different from Jupiter01:44:25
deep that the lab works experience01:44:28
it was created so that you can01:44:30
easy to share code that's why I01:44:33
I think this is an ideal option for01:44:34
such intensives because I can01:44:37
change the text and you can open this01:44:40
fines in real time01:44:42
cartoon mode to watch how it changes01:44:44
How does someone fix it?01:44:47
[music]01:44:48
so so so so so I understood correctly01:44:52
that date science is much more often sda the01:44:55
senses are much more often used01:44:56
libraries and the priority is not to know them than01:44:59
fence your bikes to the base01:45:01
I look at the syntax of the language for such large01:45:04
data and complex calculations, not even a single01:45:06
the cycle was not used yes it is01:45:09
indeed so and in principle01:45:10
programming is considered bad manners01:45:12
there are two concepts: fencing bicycles01:45:15
Vitaly let's write something01:45:18
its when there is a library for this01:45:19
which completely satisfies your01:45:22
needs these bikes I'm here you are01:45:25
doing there01:45:26
good programmer01:45:28
context, he studies those methods that01:45:30
it's already here, it's not difficult, it's quite simple01:45:32
google how to do something and 101:45:36
cruel form has already been answered it seems01:45:38
around01:45:39
ok, we could recommend that01:45:42
roadmap and libraries for dado sens01:45:47
the very first step is matplotlib with01:45:50
which we are now working on wheels with01:45:52
which we will work on tomorrow01:45:54
well what's next center for her ass01:45:59
and right for the beginning, let's clarify for01:46:02
for the common man what does road map mean?01:46:04
app 1 is English but if it's straight01:46:09
Russian translate road map01:46:12
if verbatim01:46:15
one this is a calendar plan01:46:16
that is, they asked for a development plan from01:46:20
the very first libraries you need01:46:22
we study them all01:46:24
let's try on this one01:46:29
so so so so so so so well like for01:46:33
local issues which have not yet been addressed01:46:34
answered01:46:37
we're done, I think we're at 3001:46:40
31 minutes is just about the time you can calmly01:46:41
to finish there was another question if01:46:43
opportunity to study abroad01:46:45
and how to pay from abroad here is the training01:46:47
you can definitely go through and pay too01:46:48
you can avoid this, just ask01:46:51
question to a career consultant01:46:53
will advise and do everything in the best possible way and01:46:57
I also see that there are some people who01:46:59
We already have friends studying with us, so if we have01:47:02
already learning, share what it is like in general01:47:04
training I think that's for sure for the new ones01:47:06
It will be useful to read the pros and cons of everything01:47:08
here also write in the chat cinema troops01:47:10
in the voice of colleagues. monitors send it off01:47:13
Telegram link please here I am01:47:15
I'm just watching, waiting for you to send it off01:47:17
link to telegram links still wrong01:47:19
we are already completing we are already starting01:47:21
the next broadcast is not for this colleague01:47:24
stop simple and give me a link to all of them01:47:27
I was heard link to telegram chat01:47:29
given is pinned in the live chat01:47:32
skillbox go to telegram there you can01:47:34
communicate discuss homework watch01:47:37
broadcast recordings will be chipped in01:47:39
useful infant so you want like me already01:47:42
said to take maximum benefit from our01:47:44
intensive be sure to add to01:47:47
telegram chat link to it again01:47:49
I say issued in the Navarrese box chat01:47:51
and it’s fixed there so so so so so01:47:54
I don’t see that there are any more questions01:47:56
the questions never end and never end01:47:58
it will end until you just01:48:00
unfinished firms friends very01:48:03
I'm sorry that I didn't have time to do everything today01:48:04
First of all, it’s not easy to answer01:48:06
there were a lot of questions the first day01:48:09
in front here there are most people and more01:48:11
I think there will be only questions tomorrow01:48:14
in this regard it will be simpler and cleaner01:48:16
chat tomorrow I love it, we’ll devote it to this01:48:19
more time you don't forget this01:48:20
two days ahead you can still have yours01:48:22
ask questions for today we01:48:24
Let's finish the article, thank you very much for that01:48:27
that we were immersed today01:48:29
profession is sandy 100 shared theirs01:48:31
I will ask for knowledge and experience as usual01:48:34
everyone please write thanks01:48:35
Anastasia in the chat, I think it will happen01:48:38
this whole thing is a pleasure to read and great01:48:40
thanks to everyone who was with us today01:48:42
then today I asked questions about who helped01:48:44
there were even those who answered them already01:48:46
our more experienced viewers thank you01:48:49
doubly well, in general, thank you all very much01:48:51
who created the interactive on our broadcast01:48:54
tomorrow at the same time at 19:00 it will be01:48:56
the second day there will be a lot of practice01:48:58
a lot of interesting things and therefore not01:49:00
miss well if you always miss01:49:02
maybe it would be natural to look at01:49:04
don't worry about the records either.01:49:06
integra rush you know where everything is for today01:49:09
friends, have a nice evening always01:49:11
tomorrow you will be with us you will be from the rocks boxing01:49:12
and bye bye bye we'll sort it out tomorrow01:49:16
Excel can no longer do anything else, so it’s very01:49:19
I'm waiting for you all until tomorrow01:49:33
[music]01:49:41
[music]01:49:59
[music]Description:
Распродажа программ с гарантией трудоустройства. Получи доступ к самым мощным программам с огромной скидкой ---- https://clc.to/hDIpUw Зачем нужно машинное обучение? Ведущий исследователь данных в Сбербанке Анастасия Борнева рассказала, какие задачи решают с помощью Machine Learning и показала, как читать и визуализировать данные с помощью Python-библиотек Pandas и Matplotlib. Онлайн-курс «Профессия Data Scientist: учимся обработке и анализу данных за 3 дня» помог всем, кто без ума от данных, разобраться, как стать Data Scientist с нуля и открыл несколько лайфхаков для легкого входа в профессию. Онлайн-образование Skillbox на реальных задачах показало, с чего начать Data Science-практику — после первого этапа онлайн-обучения каждый пользователь образовательной платформы вывел интервал, комбинируя код, увиденный на занятии. 0:00 - Начало 15:50 - Вводное слово 29:00 - Кто такой Data Science 51:00 - О Skillbox 1:07:47 - Знакомимся на практике Подписывайтесь на наш канал, чтобы не пропустить анонсы новых вебинаров и онлайн-конференций. А также заглядывайте в наши соцсети, там много полезной информации: https://vk.com/skillbox_education https://ok.ru/skillbox https://t.me/skillboxru
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