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Compilers
Coursera
11 weeks, 8-10 hours a week
11 weeks, 8-10 hours a week
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Not Currently Offered
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Internet History, Technology, and Security
Coursera
15 hours
15 hours
|
Self-Paced
|
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Algorithms, Part I
Coursera
54 hours
54 hours
|
Self-Paced
|
|
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Gamification
Coursera
17 hours
17 hours
|
Self-Paced
|
|
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Introduction to Probability: Part 1 - The Fundamentals
|
Not Currently Offered
|
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Competitive Programmer's Core Skills
|
Not Currently Offered
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Fundamentals of Reinforcement Learning
Coursera
15 hours 9 minutes
15 hours 9 minutes
|
Self-Paced
|
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Основы статистики
|
Self-Paced
|
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Основы статистики. Часть 2
|
Self-Paced
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Основы статистики. Часть 3
|
Self-Paced
|
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Practical Deep Learning For Coders
Independent
7 weeks, 10 hours a week
7 weeks, 10 hours a week
|
Self-Paced
|
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Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)
Coursera
3 days 17 hours 57 minutes
3 days 17 hours 57 minutes
|
Self-Paced
|
|
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Big Data Analysis with Scala and Spark
Coursera
1 day 3 hours 57 minutes
1 day 3 hours 57 minutes
|
Self-Paced
|
|
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Creative Applications of Deep Learning with TensorFlow
Kadenze
60 hours
60 hours
|
Self-Paced
|
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Machine Learning
Udacity
20 hours
20 hours
|
Self-Paced
|
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Software Security
Coursera
18 hours
18 hours
|
No Longer Offered
|
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Convolutional Neural Networks
Coursera
1 day 11 hours 43 minutes
1 day 11 hours 43 minutes
|
Self-Paced
|
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Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)
Coursera
44 hours
44 hours
|
Self-Paced
|
|
|
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Machine Learning for Musicians and Artists
Kadenze
50 hours
50 hours
|
Self-Paced
|
|
|
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Introduction to Differential Equations
edX
9 weeks, 8-10 hours a week
9 weeks, 8-10 hours a week
|
Not Currently Offered
|
|
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Algorithmic Toolbox
Coursera
1 day 16 hours 3 minutes
1 day 16 hours 3 minutes
|
Self-Paced
|
|
|
|
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Learning From Data (Introductory Machine Learning)
edX
10 weeks, 10-20 hours/week
10 weeks, 10-20 hours/week
|
No Longer Offered
|
|
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CS188.1x: Artificial Intelligence
|
Not Currently Offered
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Programming Languages, Part A
Coursera
30 hours
30 hours
|
Self-Paced
|
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Discrete Optimization
Coursera
2 days 17 hours 10 minutes
2 days 17 hours 10 minutes
|
No Longer Offered
|
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Natural Language Processing
|
Not Currently Offered
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Probability - The Science of Uncertainty and Data
edX
16 weeks, 10-14 hours/week
16 weeks, 10-14 hours/week
|
Self-Paced
|
|
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Convex Optimization
edX
8 weeks, 10-15 hours/week
8 weeks, 10-15 hours/week
|
Self-Paced
|
|
|
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|
Statistical Learning with R
edX
11 weeks, 3-5 hours/week
11 weeks, 3-5 hours/week
|
Self-Paced
|
|
|
|
|
Introduction to Probability: Part II – Inference & Processes
edX
16 weeks, 6 hours/week
16 weeks, 6 hours/week
|
No Longer Offered
|
|
|
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Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential
Coursera
10 hours 45 minutes
10 hours 45 minutes
|
Self-Paced
|
|
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