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Mining Massive Datasets
edX
7 weeks, 5-10 hours a week
7 weeks, 5-10 hours a week
|
On-Demand
|
|
|
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Circuits and Electronics 3: Applications
edX
7 weeks, 8-10 hours a week
7 weeks, 8-10 hours a week
|
On-Demand
|
|
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Circuits and Electronics 2: Amplification, Speed, and Delay
edX
5 weeks, 7-9 hours a week
5 weeks, 7-9 hours a week
|
On-Demand
|
|
|
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Statistical Computing with R - a gentle introduction
|
On-Demand
|
|
|
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|
Prototyping Interaction
iversity
6 weeks, 5-7 hours a week
6 weeks, 5-7 hours a week
|
On-Demand
|
|
|
|
|
Foundations of Data Analysis - Part 2: Inferential Statistics
edX
6 weeks, 3-6 hours a week
6 weeks, 3-6 hours a week
|
Finished
|
|
|
|
|
Foundations of Data Analysis - Part 1: Statistics Using R
edX
6 weeks, 3-6 hours a week
6 weeks, 3-6 hours a week
|
On-Demand
|
|
|
|
|
Text Mining and Analytics
Coursera
1 day 9 hours 29 minutes
1 day 9 hours 29 minutes
|
On-Demand
|
|
|
|
|
How to Use Git and GitHub
|
Finished
|
|
|
|
|
Intro to Data Analysis
|
On-Demand
|
|
|
|
|
Machine Learning for Data Science and Analytics
edX
5 weeks, 7-10 hours a week
5 weeks, 7-10 hours a week
|
Finished
|
|
|
|
|
Business and Data Analysis Skills
edX
Professional Education
3 weeks, 3-4 hours a week
3 weeks, 3-4 hours a week
|
Microcredential
4.0
1 Reviews
|
|
|
|
Introduction to Electronics
Coursera
46 hours
46 hours
|
On-Demand
|
|
|
|
|
Machine Learning: Clustering & Retrieval
Coursera
17 hours 21 minutes
17 hours 21 minutes
|
On-Demand
|
|
|
|
|
Data Structures and Performance
Coursera
1 day 17 hours 34 minutes
1 day 17 hours 34 minutes
|
On-Demand
|
|
|
|
|
The Arduino Platform and C Programming
Coursera
12 hours 32 minutes
12 hours 32 minutes
|
On-Demand
|
|
|
|
|
Internet of Things: Sensing and Actuation From Devices
Coursera
16 hours 9 minutes
16 hours 9 minutes
|
On-Demand
|
|
|
|
|
Software Processes and Agile Practices
Coursera
8 hours 20 minutes
8 hours 20 minutes
|
On-Demand
|
|
|
|
|
Internet of Things: How did we get here?
Coursera
20 hours 38 minutes
20 hours 38 minutes
|
On-Demand
|
|
|
|
|
Robotic Motion Systems
|
Finished
|
|
|
|
|
Machine Learning: Regression
Coursera
22 hours 23 minutes
22 hours 23 minutes
|
On-Demand
|
|
|
|
|
Machine Learning With Big Data
Coursera
21 hours 34 minutes
21 hours 34 minutes
|
On-Demand
|
|
|
|
|
Machine Learning: Classification
Coursera
21 hours 25 minutes
21 hours 25 minutes
|
On-Demand
|
|
|
|
|
Internet of Things: Setting Up Your DragonBoard™ Development Platform
Coursera
17 hours 50 minutes
17 hours 50 minutes
|
On-Demand
|
|
|
|
|
Interfacing with the Raspberry Pi
Coursera
11 hours 48 minutes
11 hours 48 minutes
|
On-Demand
|
|
|
|
|
Python Data Structures
Coursera
18 hours 50 minutes
18 hours 50 minutes
|
On-Demand
|
|
|
|
|
Managing Data Analysis
Coursera
8 hours 43 minutes
8 hours 43 minutes
|
On-Demand
|
|
|
|
|
The Raspberry Pi Platform and Python Programming for the Raspberry Pi
Coursera
11 hours 6 minutes
11 hours 6 minutes
|
On-Demand
|
|
|
|
|
Introduction to the Internet of Things and Embedded Systems
Coursera
11 hours 58 minutes
11 hours 58 minutes
|
On-Demand
|
|
|
|
|
Using Python to Access Web Data
Coursera
18 hours 45 minutes
18 hours 45 minutes
|
On-Demand
|
|
|
|
|
Machine Learning Foundations: A Case Study Approach
Coursera
18 hours 9 minutes
18 hours 9 minutes
|
On-Demand
|
|
|
|
|
Machine Learning for Data Analysis
Coursera
10 hours 28 minutes
10 hours 28 minutes
|
On-Demand
|
|
|
|
|
Interfacing with the Arduino
Coursera
11 hours 4 minutes
11 hours 4 minutes
|
On-Demand
|
|
|
|
|
Introduction to Machine Learning Course
Udacity
10 weeks
10 weeks
|
On-Demand
|
|
|
|
|
MyCS: Computer Science for Beginners
edX
6 weeks, 3-4 hours a week
6 weeks, 3-4 hours a week
|
Finished
|
|
|
|
|
CS190.1x: Scalable Machine Learning
|
Finished
|
|
|
|
|
Data Visualization and D3.js
|
On-Demand
|
|
|
|
|
Learn to Program Using Python
edX
9 weeks, 6-8 hours a week
9 weeks, 6-8 hours a week
|
Finished
|
|
|
|
|
Bitcoin and Cryptocurrency Technologies
Coursera
23 hours 11 minutes
23 hours 11 minutes
|
On-Demand
|
|
|
|
|
Analysis of Algorithms
Coursera
21 hours
21 hours
|
On-Demand
|
|
|
|
|
Introduction to Statistics: Inference
|
Finished
|
|
|
|
|
Python for Informatics: Exploring Information
|
Finished
|
|
|
|
|
Getting and Cleaning Data
Coursera
20 hours
20 hours
|
On-Demand
|
|
|
|
|
Practical Machine Learning
Coursera
8-9 hours
8-9 hours
|
On-Demand
|
|
|
|
|
Principles of Computing (Part 1)
Coursera
19 hours
19 hours
|
On-Demand
|
|
|
|
|
Algorithmic Thinking (Part 1)
Coursera
12 hours
12 hours
|
On-Demand
|
|
|
|
|
Introduction to Computer Networking
Stanford OpenEdx
11 weeks
11 weeks
|
Finished
|
|
|
|
|
Electrify: An Introduction to Electrical and Electronic Engineering
FutureLearn
6 weeks
6 weeks
|
Finished
|
|
|
|
|
Programming Foundations with Python
|
Finished
|
|
|
|
|
Principles of Computing (Part 2)
Coursera
16 hours
16 hours
|
On-Demand
|
|
|
