Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

This Python data science course will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and Matplotlib.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to the Course and Outline
⌨️ (0:03:53) The Basics of Programming
⌨️ (1:11:35) Why Python
⌨️ (1:33:09) How to Install Anaconda and Python
⌨️ (1:37:25) How to Launch a Jupyter Notebook
⌨️ (1:46:28) How to Code in the iPython Shell
⌨️ (1:53:33) Variables and Operators in Python
⌨️ (2:27:45) Booleans and Comparisons in Python
⌨️ (2:55:37) Other Useful Python Functions
⌨️ (3:20:04) Control Flow in Python
⌨️ (5:11:52) Functions in Python
⌨️ (6:41:47) Modules in Python
⌨️ (7:30:04) Strings in Python
⌨️ (8:23:57) Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries
⌨️ (9:36:10) The NumPy Python Data Science Library
⌨️ (11:04:12) The Pandas Python Data Science Python Library
⌨️ (12:01:31) The Matplotlib Python Data Science Library
⌨️ (12:09:00) Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries

[KOTHAABHISHEK]

⌨️ (0:00:00) Introduction to the Course and Outline
⌨️ (0:03:53) The Basics of Programming
⌨️ (1:11:35) Why Python
⌨️ (1:33:09) How to Install Anaconda and Python
⌨️ (1:37:25) How to Launch a Jupyter Notebook
⌨️ (1:46:28) How to Code in the iPython Shell
⌨️ (1:53:33) Variables and Operators in Python
⌨️ (2:27:45) Booleans and Comparisons in Python
⌨️ (2:55:37) Other Useful Python Functions
⌨️ (3:20:04) Control Flow in Python
⌨️ (5:11:52) Functions in Python
⌨️ (6:41:47) Modules in Python
⌨️ (7:30:04) Strings in Python
⌨️ (8:23:57) Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries
⌨️ (9:36:10) The NumPy Python Data Science Library
⌨️ (11:04:12) The Pandas Python Data Science Python Library
⌨️ (12:01:31) The Matplotlib Python Data Science Library
⌨️ (12:09:00) Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries

[codewithpraisejames]

I love how realistic his teachings are. You see him battle challenges himself and learn from his mistake. Makes you feel safer knowing that making mistakes doesn't mean you are dumb.

[dustintimkang]

Many people in the future will thank this channel for their service to mankind.

[AnuzVlog]

0:00:00 Problem Solving
1:11:35 Why Python
1:20:27 What is an IDE
1:29:48 IDE statistics
1:33:10 Installing Python (Anaconda)
1:37:25 Hello World Program
1:53:33 Variables & Operators
2:27:46 Type bool & Comparisons
2:55:39 Some Useful Functions
3:20:04 Control Flow
5:11:54 Functions
6:41:48 Modules
7:02:45 Practice Functions
7:30:06 Strings
8:23:57 Data Structure
9:36:12  Numpy
11:04:13 Pandas
12:01:34 Matplotlib

[wasiubabs]

What a wonderful gift to humanity??? I really appreciate this to dawn earth! We can definitely start from here! Many thanks to you, myfaceless helper!

[ginacampana]

I feel that it's really great for you guys to do this! For starters, my school doesn't only teach us ANY programming and stuff like that, but it doesn't even have a computer course anymore. Now, we only use the computer room as a spare for science projects or daily announcements. Secondly, it's FREE! That really helps! You guys are giving me the actual education I need, even for a hobby, but hey, at least I have more to look forward too!

[damian]

Free knowlegde - this is the true beauty of programming.

[edric]

Watching this video even if it's only halfway through, I can't picture how much and useful the knowledge this gives. Easy to comprehend, straight to the point, applicable to real life needs, and overall just amazing. And it's also free, like TOTALLY FREE. Can't thank you and the team (others in the channel I suppose) enough for this, just.. marvelous

[herothingyt]

for me to use
02:09:00 variables
02:14:20 operators
03:41:20
04:05:45 comment
04:22:05 while loop
04:34:06 break continue
04:43:07 lists (indexing, append)
04:48:36 for loop range syntax
04:50:31 for loop ELSE statement
04:54:40 what is PASS statement?
04:58:30 dictionary
05:09:53 sorting
05:08:18 for loop range (start to end) syntax
len(L) to get the size of the "list"
05:16:00 functions
05:21:43 doc string 05:24:33
_ func? _ to view document string
_func??_ to view the whole implementation
or ~-help(func)-~
05:36:26
05:56:26 why need use "return" 06:00:09
06:12:06 can use sequence of variables in return statement
06:16:10 variable number of input arguments
(*args) acts like a list
06:20:44 summing numbers using *args
06:24:06 dictionary as func args (**args)
06:28:51 prog to demonstrate that ↑
06:30:57 passing default values in a func
- def func(sum = 0):
06:37:51 memory referencing in lists
- lists are not copied, rather they share the memory, so changing one value in them, affects the others
06:39:25 but lists are copied when we pass them in functions where default args is given (as a list ofc) ; the default values never change

SKIPPED MODULES

07:04:44 finding minimum but using function 07:08:20
07:09:02 swapping numbers using func
07:27:40 sorted list code
07:31:55 STRINGS (add two strings) 07:38:52
07:40:58 multi line string
07:51:22 negative indexing in string
07:53:42 immutable data type (cannot change string elements after creating it)
07:56:00 jumping in string str[start:end:step]
07:57:40 reversing the string trickily
07:59:33 string functions use .
08:07:15 splitting string specifying a seperator and storing them in a list
08:14:27 in keyword in string (returns bool)
08:17:24 string comparison using relational operators
08:19:40 escape sequence
08:22:48 r for raw string (printing it tip to toe like copying)
8:24:00 data structures
09:15:20 set using range specifying steps
09:19:55 practice program

[countessolufunmi]

Thank you so much. omg! Thank you so much. One of the best 12 hours of my life. I can't believe its for free.

[margaux]

Thank you for saving my last semester before graduation. This course is pure gold and so easy to understand without any coding or mathematical background, congrats!

[akshay]

Thank you for doing such a good service to the community by bringing such amazing quality content for free. I cant tell you how much I appreciate it. Lots of love and respect to the team.

[bookofmystery]

You guys literally serving us the enormous knowledge without expecting any payments from us is completely amaze me and It's broadened my respect towards your teams and their efforts.
Arigato gozaimasu🙏

[deborahchepkoech]

At last!! I was able to go through this whole python tutorials and I can say this is an excellent compilation. Thank you sir for the your dedication and zeal. God bless you for changing lives.Keep up the good work!

[abhilashkrishnan]

Completed this 12 hour course just now . Thanks for sharing this knowledge in simple and effective way .

[thriller]

Thank you for this course, sir. It was a great 12 hour journey. Coming from non CS background, I had little to no knowledge about all this stuff but this video has given me enormous amount of confidence that I can program and explore data science further. Thanks again!

[tanishnagpal]

Genuinely a great course to start with, if you really want to learn python then it is the real in-depth course through which you can kickstart your journey as data analyst. May you all reach at the top of your career and live a long beautiful and good life. God bless you all!

[Khumzi]

I was having issues in the other course working with these tools, but I came here and everything is so clear and well placed thank you.

[calmpeace]

2:00:00 variables
2:09:50 operators
2:27:47 bool type and comparisons
2:55:38 some useful functions of python
3:22:08 control flow ( if condition )
3:32:08 control flow (if-else )
3:36:40 (if-elif-else)
3:51:40 ( nested if )
4:21:33 control flow ( loops )
4:33:00 loops: break, continue
4:42:10 for loop
4:50:30 else in for loop
4:56:37 dictionary
5:12:00 functions

[aghormurilo]

Words are not enough to appreciate this quality content for free, thanks so much