| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
An Introduction to Interactive Programming in Python (Part 2)
Coursera
4 weeks, 4 hours a week
4 weeks, 4 hours a week
|
||
|
|
Learn to Program Using Python
edX
9 weeks, 6-8 hours a week
9 weeks, 6-8 hours a week
|
||
|
|
Computing in Python I: Fundamentals and Procedural Programming
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
||
|
|
Computing in Python II: Control Structures
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
||
|
|
Computing in Python III: Data Structures
edX
5 weeks, 9-10 hours a week
5 weeks, 9-10 hours a week
|
||
|
|
Machine Learning with Python
Coursera
6 weeks, 3 hours a week
6 weeks, 3 hours a week
|
||
|
|
Programming for Everybody: Python Data Structures
FutureLearn
6 weeks, 4 hours a week
6 weeks, 4 hours a week
|
||
|
|
Building Web Applications in Django
Coursera
6 weeks, 2 hours a week
6 weeks, 2 hours a week
|
||
|
|
Python Programming Essentials
Coursera
4 weeks, 2 hours a week
4 weeks, 2 hours a week
|
||
|
|
Udacity
14 hours
14 hours
|
||
|
|
Learn to Program: The Fundamentals
Coursera
7 weeks, 4 hours a week
7 weeks, 4 hours a week
|
||
|
|
An Introduction to Interactive Programming in Python (Part 1)
Coursera
5 weeks, 4 hours a week
5 weeks, 4 hours a week
|
||
|
|
|
||
|
|
Python for Data Science
Swayam
4 weeks
4 weeks
|
||
|
|
Introduction to Programming Using Python
edX
16 weeks, 6-15 hours a week
16 weeks, 6-15 hours a week
|
||
|
|
Programming for Everybody (Getting Started with Python)
FutureLearn
6 weeks, 4 hours a week
6 weeks, 4 hours a week
|
||
|
|
Machine Learning with Python: A Practical Introduction
edX
5 weeks, 4-6 hours a week
5 weeks, 4-6 hours a week
|
||
|
|
Python Data Structures
edX
7 weeks, 2-4 hours a week
7 weeks, 2-4 hours a week
|
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