| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Machine Learning: Classification
Coursera
21 hours 25 minutes
21 hours 25 minutes
|
||
|
|
Machine Learning: Regression
Coursera
22 hours 23 minutes
22 hours 23 minutes
|
||
|
|
Python Data Structures
edX
7 weeks, 2-4 hours/week
7 weeks, 2-4 hours/week
|
||
|
|
Fundamentals of Machine Learning
Complexity Explorer
1 hour
1 hour
|
||
|
|
Python for Data Science
edX
10 weeks, 8-10 hours/week
10 weeks, 8-10 hours/week
|
||
|
|
Neural Networks and Deep Learning
Coursera
1 day 35 minutes
1 day 35 minutes
|
||
|
|
Data Analysis with R
Udacity
23 hours
23 hours
|
||
|
|
Statistics
Udacity
32 hours
32 hours
|
||
|
|
Predictive Modeling and Machine Learning with MATLAB
Coursera
18 hours 52 minutes
18 hours 52 minutes
|
||
|
|
Computational Social Science Methods
Coursera
11 hours 20 minutes
11 hours 20 minutes
|
||
|
|
Excel Fundamentals for Data Analysis
Coursera
14 hours 49 minutes
14 hours 49 minutes
|
||
|
|
Statistical and Probabilistic Foundations of AI
edX
7 weeks, 6-7 hours/week
7 weeks, 6-7 hours/week
|
||
|
|
Elements of AI
Independent
6 weeks, 5-10 hours a week
6 weeks, 5-10 hours a week
|
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