Data Science MOOC-s and video series
March 5, 2016
A list of courses around data science that I found interesting or want to keep track of.
Coursera
| Specializations | Notes |
|---|---|
| Data Science (Johns Hopkins, Peng et al) | Uses R |
| Data Analysis and Interpretation (Wesleyan) | SAS &Python |
| Data Science at Scale (Univ Washington, Bill Howe) | varied tools |
| Data Structures and Algorithms (UC San Diego) | |
| Big Data Specialization (Univ California) | Hadoop etc |
| Executive Data Science (John Hopkins, Peng et al) | |
| Strategic Business Analytics (Accenture) | |
| Statistics with R Specialization (Duke ) | |
| Machine Learning Specialization (Univ Washington, Carlos Guestrin) | Uses Dato |
| Data Mining Specialization (Univ Illinois) | |
| Internet of Things (Univ California) | |
| Courses | Notes |
|---|---|
| Mining Massive Datasets (Stanford) | |
| Neural Networks for Machine Learning (Uni Toronto, Geoffrey Hinton) | |
| Probabilistic Graphical Models (Stanford, Daphne Koller) | Excelent |
| Machine learning (Andrew Ng) | Nice |
edX
| Series | Notes |
|---|---|
| Data Science and Engineering with Spark (Berkely) | |
| Data Science and Analytics in context (Columbia) |
| Courses | Notes |
|---|---|
| The Analytics Edge (MIT) | |
| Scalable Machine Learning (Berkeley) | |
| Predictive analytics (Bangalore) | |
| Introduction to Computational Thinking and Data Science (MIT) | Introductory, simlpe |
Udacity
| Nanodegrees | Notes |
|---|---|
| Machine Learning Engineer Nanodegree | |
| Data Analyst Nanodegree |
Video series
| Course | Notes |
|---|---|
| CS109 Data Science (Harvard) | Excelent |
| Statistics 110: Probability (Harvard) | Excelent |
| Discrete Stochastic Processes (MIT) | |
| Machine Learning (Stanford) | By Andrew Ng. Also the lecture notes |