Course Name | Start Date | Rating | |
---|---|---|---|
|
An Introduction to Interactive Programming in Python (Part 2)
Coursera
15 hours 52 minutes
15 hours 52 minutes
|
||
|
Algorithms, Part I
Coursera
54 hours
54 hours
|
||
|
Algorithms, Part II
Coursera
63 hours
63 hours
|
||
|
Paradigms of Computer Programming – Fundamentals
edX
6 weeks, 4-6 hours a week
6 weeks, 4-6 hours a week
|
||
|
College Algebra and Problem Solving
edX
15 weeks, 8-9 hours a week
15 weeks, 8-9 hours a week
|
||
|
Making Sense of Data in the Media
FutureLearn
3 weeks, 3 hours a week
3 weeks, 3 hours a week
|
||
|
Data Analysis with R
Udacity
8 weeks
8 weeks
|
||
|
Python for Data Science
edX
10 weeks, 8-10 hours a week
10 weeks, 8-10 hours a week
|
||
|
Introduction to Probability: Part 1 - The Fundamentals
edX
16 weeks
16 weeks
|
||
|
Data Structures: An Active Learning Approach
edX
10 weeks, 6-7 hours a week
10 weeks, 6-7 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
|
||
|
Introduction to Calculus
Coursera
2 days 10 hours 54 minutes
2 days 10 hours 54 minutes
|
||
|
Data Science and Agile Systems for Product Management
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
||
|
Data Science: R Basics
edX
8 weeks, 1-2 hours a week
8 weeks, 1-2 hours a week
|
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