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.
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This is a hands-on course and you will practice everything you learn step-by-step. This course was created by Maxwell Armi. You can check out more of his data science videos on his YouTube channel here:
? Learn more about Data Science with videos from freeCodeCamp's Data Science Playlist:
⭐️ 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
⌨️ (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
Ayya thank you so much
??
Your my savior 🙂
thanks!! this was very helpful
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?
@MADHUSUDAN MYSURU Oh, I see. it seems like bootcamp?
@Ardian Tanjung no
a fellow man of culture
@No Name no friends? no father? no ✨taste✨ in tv shows? let the man of culture have fun (im not offended or anything, dont take it seriously. have a great day)
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!
Hats off to you, giving away free knowledge without even advertisements ??
@Ravi Krishnarpan big deal! Lol. I’m not complaining!
@Abhay Tiwari g0
Hats off to you ???
19:25
@Ravi Krishnarpan Use an ad blocker
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!
Hello
Whoa, 12 hour beast! This is especially interesting beacuse it includes data science as well. I recently tried to explain some python tips on my channel but the immense work on here is beyond amazing. Always keep that good stuff coming 🙂
This is a great course. Thank you for giving us this opportunity to those like me who have not a background in programming. How would you organize so as I can make the most and learn as much as I can with this course? I am trying to make 30 minutes per day everyday and follow the pseudocode with a paper and a pen writing the codes and making every single iteration by myself so as I can understand how codes work.
Thank you so much your efforts to teach python in such a good way has brought tears of happiness in my eyes. Keep up the good work. Looking forward for a great approach to object oriented programming course with python.
accha hai but thoda jydah nahi hogaya tears vagera
I can’t wait to go through this, thanks for always putting out so much quality content
How do other people know what this and that modules do
Ive been watching you from the beginning
Yeah, I’m going through this course right now.
Question , I want to Learn Python , I amalso interested in Data Science . IS this course help to Learn Python program in depth or Mostly data science related ?
Thank you guys for learning easy, and opening up multiples doors of knowledge that is classified with high filla fees.
God bless.
I’m 2hrs in and really enjoying how well taught this is. And this is from a beginner.
Great video! I would love to see a more advanced video that goes deeper into the libraries mentioned and projects and things to get students to really wrestle with data science. You need to solve lots of problems to improve your skills!
can you tell me where can i find this pblms or which kind of pblms?
Thanks for uploading such a wonderful course. Very good for the beginners. Well explained and structured. God bless
Fantastic video – thank you! However, in searchMinFromList(L, n), counter <= n returns an IndexError, since len(L) = 6 but the indexing goes from 0 to 5. Unless I'm missing something, it has to be counter < n instead for it to work. Or subtracting 1 from n before the loop.
(4:21:35) While Loop
(4:41:52) For Loop
(4:56:40) Loop practice
(5:12:05) Functions_Definition
(5:20:26) Functions_Doc string
”’Given a list of numbers , make another list that contains all the items in sorted order
from min to max”’
The above problem can be solved with sort() function as well
L.sort() for ascending order and L.sort(reverse = True) for descending order.
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
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.
Thank you so much for this high quality lecture. It helped me to understand the basics and move further with Python. The brief coverage on the data science packages is beneficial too.
Thank you so much for this high quality lecture. It helped me to understand the basics and move further with Python. The brief coverage on the data science packages is beneficial too.