| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera
15 hours 25 minutes
15 hours 25 minutes
|
||
|
|
Robotics: Perception
Coursera
1 day 9 hours 7 minutes
1 day 9 hours 7 minutes
|
||
|
|
Object Oriented Programming in Java
Coursera
1 day 16 hours 23 minutes
1 day 16 hours 23 minutes
|
||
|
|
Ruby on Rails: An Introduction
Coursera
3 weeks
3 weeks
|
||
|
|
Introduction to C++
edX
4 weeks, 3-5 hours a week
4 weeks, 3-5 hours a week
|
||
|
|
Introduction to Computational Thinking and Data Science
edX
9 weeks, 14-16 hours/week
9 weeks, 14-16 hours/week
|
||
|
|
Developing Microsoft Azure Solutions
edX
6 weeks, 3-4 hours a week
6 weeks, 3-4 hours a week
|
||
|
|
Getting Started with Azure App Service: Web Apps
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
||
|
|
Introduction to Computer Vision
Udacity
36 hours
36 hours
|
||
|
|
Computational Photography
Udacity
16 weeks
16 weeks
|
||
|
|
Convolutional Neural Networks
Coursera
1 day 11 hours 43 minutes
1 day 11 hours 43 minutes
|
||
|
|
Deep Learning in Computer Vision
Coursera
5 weeks
5 weeks
|
||
|
|
Smart Cities
FutureLearn
6 weeks, 3 hours a week
6 weeks, 3 hours a week
|
||
|
|
Processing Big Data with Hadoop in Azure HDInsight
edX
5 weeks, 3-5 hours a week
5 weeks, 3-5 hours a week
|
||
|
|
The Caltech-JPL Summer School on Big Data Analytics
Coursera
2 weeks, 20-25 hours a week
2 weeks, 20-25 hours a week
|
||
|
|
Discrete-Time Signal Processing
edX
4 weeks, 8 hours/week
4 weeks, 8 hours/week
|
||
|
|
An Introduction to Interactive Programming in Python (Part 1)
Coursera
19 hours 18 minutes
19 hours 18 minutes
|
||
|
|
Science & Cooking: From Haute Cuisine to Soft Matter Science (chemistry)
edX
16 weeks, 2-3 hours/week
16 weeks, 2-3 hours/week
|
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