| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Educational Technology
Udacity
16 weeks
16 weeks
|
||
|
|
Probabilistic Graphical Models 2: Inference
Coursera
38 hours
38 hours
|
||
|
|
An Intuitive Introduction to Probability
Coursera
1 day 5 hours 34 minutes
1 day 5 hours 34 minutes
|
||
|
|
Practical Deep Learning For Coders
Independent
7 weeks, 10 hours a week
7 weeks, 10 hours a week
|
||
|
|
6.S094: Deep Learning for Self-Driving Cars | ||
|
|
Discrete Mathematics
Coursera
1 day 21 hours 57 minutes
1 day 21 hours 57 minutes
|
||
|
|
Complex Analysis with Physical Applications
edX
10 weeks, 3-5 hours a week
10 weeks, 3-5 hours a week
|
||
|
|
Formal Software Verification
edX
8 weeks, 8-10 hours a week
8 weeks, 8-10 hours a week
|
||
|
|
Introduction to Enhancing Learning and Teaching in Higher Education
FutureLearn
5 weeks, 3 hours a week
5 weeks, 3 hours a week
|
||
|
|
Leading the Life You Want
Coursera
11 hours
11 hours
|
||
|
|
University Teaching
Coursera
17 hours 26 minutes
17 hours 26 minutes
|
||
|
|
Bayesian Statistics: Techniques and Models
Coursera
1 day 5 hours 37 minutes
1 day 5 hours 37 minutes
|
||
|
|
Learn TensorFlow and deep learning, without a Ph.D.
Independent
3 hours
3 hours
|
||
|
|
|
||
|
|
Logic and Computational Thinking
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
||
|
|
Finance for Everyone: Markets
Coursera
11 hours 49 minutes
11 hours 49 minutes
|
||
|
|
Finance for Everyone: Debt
Coursera
12 hours 29 minutes
12 hours 29 minutes
|
||
|
|
Introduction to Complex Analysis
Coursera
1 day 5 hours 18 minutes
1 day 5 hours 18 minutes
|
||
|
|
Think Again I: How to Understand Arguments
Coursera
25 hours
25 hours
|
||
|
|
Bayesian Statistics: From Concept to Data Analysis
Coursera
10 hours 53 minutes
10 hours 53 minutes
|
||
|
|
Quantitative Biology Workshop
edX
9 weeks, 4-8 hours a week
9 weeks, 4-8 hours a week
|
||
|
|
Modeling Discrete Optimization
Coursera
7 weeks, 5-10 hours a week
7 weeks, 5-10 hours a week
|
||
|
|
Modelling with Differential Equations
edX
6 weeks, 4-5 hours/week
6 weeks, 4-5 hours/week
|
||
|
|
Neural Networks for Machine Learning
Coursera
16 weeks, 7-9 hours a week
16 weeks, 7-9 hours a week
|
||
|
|
Discrete Optimization
Coursera
2 days 17 hours 10 minutes
2 days 17 hours 10 minutes
|
||
|
|
Linear and Discrete Optimization | ||
|
|
Linear and Integer Programming | ||
|
|
Introduction to Statistics: Inference
edX
4 weeks
4 weeks
|
||
|
|
Deep Learning through Transformative Pedagogy
edX
4 weeks, 2-3 hours/week
4 weeks, 2-3 hours/week
|
||
|
|
Probability - The Science of Uncertainty and Data
edX
16 weeks, 10-14 hours/week
16 weeks, 10-14 hours/week
|
||
|
|
Convex Optimization
edX
8 weeks, 10-15 hours/week
8 weeks, 10-15 hours/week
|
||
|
|
How to Code: Simple Data
edX
7 weeks, 2-3 hours/week
7 weeks, 2-3 hours/week
|
||
|
|
Probability and Statistics in Data Science using Python
edX
10 weeks, 10-12 hours/week
10 weeks, 10-12 hours/week
|
||
|
|
How to Code: Complex Data
edX
6 weeks, 2-3 hours/week
6 weeks, 2-3 hours/week
|
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