1
00:00:01,170 --> 00:00:02,250
Welcome back.

2
00:00:02,250 --> 00:00:09,110
We're at a critical point in the course now because we have two paths that are going to diverge.

3
00:00:09,300 --> 00:00:14,590
Now don't worry these two paths just depend on your past experience.

4
00:00:14,670 --> 00:00:19,140
At the end of the course you're still going to end up in the same location with the same knowledge.

5
00:00:19,140 --> 00:00:23,130
But we want to make sure that this course is inclusive for everybody.

6
00:00:23,400 --> 00:00:30,540
And that is in order for us to continue we need to know a programming language and specifically python

7
00:00:30,660 --> 00:00:34,530
because python is used all over data science.

8
00:00:34,590 --> 00:00:37,620
It's a mandatory requirement.

9
00:00:37,620 --> 00:00:39,200
So we need to learn it.

10
00:00:39,450 --> 00:00:42,430
Now for some of you you already know Python.

11
00:00:42,460 --> 00:00:52,660
Right for those that know Python you can just keep continuing with the next lecture because starting

12
00:00:52,660 --> 00:00:57,190
from the next lecture we're going to assume that you know how to program in Python.

13
00:00:57,250 --> 00:01:05,620
The other path is for people that don't know Python Whether you're new to programming or maybe know

14
00:01:05,620 --> 00:01:08,620
another language but aren't so familiar with Python.

15
00:01:08,650 --> 00:01:13,310
Well we have a second path where we teach you python from scratch.

16
00:01:13,630 --> 00:01:20,290
For those people you'll have to go to the bottom of the course in the course outline and start the python

17
00:01:20,350 --> 00:01:21,460
section.

18
00:01:21,790 --> 00:01:28,390
And once you're done that Python section come back to this lecture and then continue on with the course.

19
00:01:28,390 --> 00:01:31,150
I promise you it's not as intimidating as you think.

20
00:01:31,150 --> 00:01:35,050
And you're going to learn python enough to get hired.

21
00:01:35,050 --> 00:01:43,200
Now you might be asking yourself Andre why do we even need Python all this stuff you've been talking

22
00:01:43,200 --> 00:01:50,610
about sounds a lot like just data that what we can just use Excel and excel sheets to create graphs

23
00:01:50,610 --> 00:01:57,420
and don't we have Excel for this and haven't businesses been using Excel successfully for the past decades

24
00:01:57,810 --> 00:01:59,950
now even though Excel is great.

25
00:02:00,000 --> 00:02:05,910
There are some areas that make a programming language like Python a lot better for certain types of

26
00:02:06,270 --> 00:02:09,690
data science and data analysis.

27
00:02:09,720 --> 00:02:17,220
So trust me on this one you need to know python because unlike excel where you can just have a visual

28
00:02:17,220 --> 00:02:24,960
representation and drag and drop cells and play things around well with Python we have certain benefits

29
00:02:24,960 --> 00:02:32,280
like the ability to work with almost any kind of data you can automate repetitive tasks and make things

30
00:02:32,280 --> 00:02:32,710
easier.

31
00:02:33,060 --> 00:02:37,040
It's a lot faster when you start working with the larger and larger amounts of data.

32
00:02:37,140 --> 00:02:43,230
It has advanced as this sticks and machine learning capabilities that we wouldn't get with Excel and

33
00:02:43,320 --> 00:02:49,320
also advanced data visualizations so we can just make things beyond just general graphs that you might

34
00:02:49,320 --> 00:02:50,400
find and excel.

35
00:02:50,400 --> 00:02:54,300
But more importantly with Python you can run Python anywhere.

36
00:02:54,360 --> 00:03:01,050
You don't need a certain type of operating system or certain type of computer you can run your data

37
00:03:01,050 --> 00:03:04,090
science projects and machine learning projects with Python.

38
00:03:04,290 --> 00:03:06,830
So yes you have to know python.

39
00:03:06,840 --> 00:03:09,260
And I've said python a million times in this videos.

40
00:03:09,270 --> 00:03:15,090
So those are your two choices either you know python and keep going with the course or you don't know

41
00:03:15,090 --> 00:03:19,650
Python so you're going to jump to the Python section and come back to this video.

42
00:03:19,650 --> 00:03:20,210
All right.

43
00:03:20,340 --> 00:03:21,570
Two paths.

44
00:03:21,570 --> 00:03:22,470
Let's get started.

45
00:03:22,470 --> 00:03:24,900
We're all going to end up in the same location.

46
00:03:24,900 --> 00:03:26,290
I'll see you in the next one.

47
00:03:26,310 --> 00:03:26,670
Bye bye.