A Coursera specialization from the University of Michigan teaching applied data science in Python, covering libraries such as NumPy, pandas, and matplotlib through a series of courses with notebooks and assignments.

Commenters call it very good and well documented, and recommend it as a practical way into data science and ML using Python, with the first courses covering NumPy, pandas, and matplotlib.

On Reddit (4)

1. Recommends4n0nym0usR3dd1t0rr/learnprogramming2020in “The Road To Learning Programming By Yourself.”▲ 2

   Well python is great. If you are interested consider learning pandas, a python library designed for data science. If you want, there’s a great coursera course by University of Michigan about data science in python.

2. RecommendssimonDungeonr/learnmachinelearning2020in “Is this the right way to proceed with learning ML?”▲ 3

   For ML : the COURSERA's "Applied Data Science with Python Specialisation course" is very good and its well documented and taught. For Mathematics : Refer the COURSERA's Mathematics in ML course or explore this - 1)https://www.youtube.com/playlist?list=PLiiljHvN6z1_o1ztXTKWPrShrMrBLo5P3…

3. Recommendstnzl_10zLr/learnmachinelearning2019in “Learning ML only with Python (and NumPy) from scratch”▲ 1

   I am also a beginner with the same theme of learning. I am pursuing applied data science with python specialisation on Coursera by University of Michigan and mlcourse .ai by ODS community side by side. Do the first two courses in specialisation about numpy , pandas and matplotlib which will hardly…

4. Recommendsreverse_the_arrowsr/learnmachinelearning2019in “What are the basic requirements for learning ML?”▲ 3

   Andrew Ng's course is a excellent for these purposes. If you want to do proper ML, you need to know some linear algebra and calculus in order to understand how the classic algorithms work. You can still get in the data science wagon and not really going into the details of the math, and for that I…

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