| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Data Visualization for All
edX
6 weeks, 3 hours a week
6 weeks, 3 hours a week
|
||
|
|
Python for Data Science
edX
10 weeks, 8-10 hours a week
10 weeks, 8-10 hours a week
|
||
|
|
Machine Learning Fundamentals
edX
10 weeks, 8-10 hours a week
10 weeks, 8-10 hours a week
|
||
|
|
Data Analytics for Business
edX
16 weeks, 10-12 hours a week
16 weeks, 10-12 hours a week
|
||
|
|
Computing for Data Analysis
edX
15 weeks, 8-10 hours a week
15 weeks, 8-10 hours a week
|
||
|
|
Google Cloud Big Data and Machine Learning Fundamentals
Coursera
9 hours 29 minutes
9 hours 29 minutes
|
||
|
|
|
||
|
|
Statistical Machine Learning | ||
|
|
Data and Visual Analytics
Udacity
2 hours
2 hours
|
||
|
|
Udacity
14 hours
14 hours
|
||
|
|
Introduction to Python: Fundamentals
edX
5 weeks, 3-4 hours a week
5 weeks, 3-4 hours a week
|
||
|
|
Introduction to Python: Absolute Beginner
edX
5 weeks, 3-4 hours a week
5 weeks, 3-4 hours a week
|
||
|
|
Web Security Fundamentals
edX
5 weeks, 4-6 hours a week
5 weeks, 4-6 hours a week
|
||
|
|
Sequence Models
Coursera
4 weeks, 9 hours a week
4 weeks, 9 hours a week
|
||
|
|
Structuring Machine Learning Projects
Coursera
2 weeks, 3 hours a week
2 weeks, 3 hours a week
|
||
|
|
Neural Networks and Deep Learning
Coursera
4 weeks, 6 hours a week
4 weeks, 6 hours a week
|
||
|
|
Causal Diagrams: Draw Your Assumptions Before Your Conclusions
edX
9 weeks, 2-3 hours a week
9 weeks, 2-3 hours a week
|
||
|
|
Capstone: Autonomous Runway Detection for IoT
Coursera
3 weeks, 10 hours a week
3 weeks, 10 hours a week
|
||
|
|
Introduction to Artificial Intelligence (AI)
edX
4 weeks, 3-4 hours a week
4 weeks, 3-4 hours a week
|
||
|
|
Data Science: R Basics
edX
8 weeks, 1-2 hours a week
8 weeks, 1-2 hours a week
|
||
|
|
SAP Learning
6 weeks, 3-4 hours a week
6 weeks, 3-4 hours a week
|
||
|
|
SAP Learning
4 weeks, 3-4 hours a week
4 weeks, 3-4 hours a week
|
||
|
|
Deep Learning for Business
Coursera
6 weeks, 1 hour a week
6 weeks, 1 hour a week
|
||
|
|
Big Data Applications: Machine Learning at Scale
Coursera
5 weeks
5 weeks
|
||
|
|
Bayesian Methods for Machine Learning
Coursera
6 weeks
6 weeks
|
||
|
|
Introduction to Deep Learning
Coursera
5 weeks, 4 hours a week
5 weeks, 4 hours a week
|
||
|
|
Deep Learning in Computer Vision
Coursera
5 weeks
5 weeks
|
||
|
|
Machine Learning
edX
14 weeks, 8-10 hours a week
14 weeks, 8-10 hours a week
|
||
|
|
SQL for Data Science
Coursera
4 weeks, 4 hours a week
4 weeks, 4 hours a week
|
||
|
|
IoT Sensors and Devices
edX
5 weeks, 4-6 hours a week
5 weeks, 4-6 hours a week
|
||
|
|
IoT Programming and Big Data
edX
5 weeks, 4-6 hours a week
5 weeks, 4-6 hours a week
|
||
|
|
Data Mining
Swayam
8 weeks
8 weeks
|
||
|
|
Tsinghua Chinese: Start Talking with 1.3 Billion People
edX
6 weeks, 2-3 hours a week
6 weeks, 2-3 hours a week
|
||
|
|
Algorithmic Toolbox
Coursera
6 weeks, 7 hours a week
6 weeks, 7 hours a week
|
||
|
|
Intro to Deep Learning
Udacity
12 weeks
12 weeks
|
||
|
|
Introduction to Python for Data Science
edX
6 weeks, 2-4 hours a week
6 weeks, 2-4 hours a week
|
||
|
|
Machine Learning
Udacity
20 hours
20 hours
|
||
|
|
Machine Learning for Trading
Udacity
12 hours
12 hours
|
||
|
|
Introduction to Computer Science and Programming Using Python.
edX
9 weeks, 14-16 hours a week
9 weeks, 14-16 hours a week
|
||
|
|
Getting and Cleaning Data
Coursera
4 weeks, 5 hours a week
4 weeks, 5 hours a week
|
||
|
|
Practical Machine Learning
Coursera
4 weeks, 2 hours a week
4 weeks, 2 hours a week
|
||
|
|
Principles of Computing (Part 1)
Coursera
5 weeks, 4 hours a week
5 weeks, 4 hours a week
|
||
|
|
Algorithmic Thinking (Part 1)
Coursera
4 weeks, 4 hours a week
4 weeks, 4 hours a week
|
||
|
|
Introduction to Computational Thinking and Data Science
edX
9 weeks, 14-16 hours a week
9 weeks, 14-16 hours a week
|
||
|
|
Machine Learning: Unsupervised Learning
Udacity
5 hours
5 hours
|
||
|
|
Reinforcement Learning
Udacity
21 hours
21 hours
|
||
|
|
Introduction to Data Science
edX
6 weeks, 2-4 hours a week
6 weeks, 2-4 hours a week
|
||
|
|
Applied Machine Learning
edX
6 weeks, 3-4 hours a week
6 weeks, 3-4 hours a week
|
||
|
|
Microsoft Professional Capstone : Data Science
edX
4 weeks, 3-4 hours a week
4 weeks, 3-4 hours a week
|
||
|
|
Programming with Python for Data Science
edX
6 weeks, 8-9 hours a week
6 weeks, 8-9 hours a week
|
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