| AERO E304 |
Advanced Control System Design for Aerospace Vehicles |
IISc Bangalore |
NPTEL |
| AERO E412 |
Flight dynamics I - Airplane performance |
IIT Madras |
NPTEL |
| CS295 |
Algorithms |
Saylor |
Saylor |
| CS295 |
Algorithms: Design and Analysis, Part 1 |
Stanford University |
Coursera |
| CS295 |
Algorithms, Part I |
Princeton University |
Coursera |
| CS295 |
Algorithms |
Udacity |
Udacity |
| CS295 |
Analysis of Algorithms |
Princeton University |
Coursera |
| CS312 |
Real-Time Analytics with Apache Storm |
Udacity |
Udacity |
| CS315 |
Analytic Combinatorics |
Princeton University |
Coursera |
| CS351 |
Web Intelligence and Big Data |
Indian Institute of Technology Delhi |
Coursera |
| CS380 |
Introduction to Data Science |
University of Washington |
Coursera |
| CS381 |
Big Data Analysis with Apache Spark |
University of California, Berkeley |
EdX |
| CS383 |
Implementing Predictive Analytics with Hadoop in Azure HDInsight |
Microsoft |
EdX |
| CS387 |
Processing Big Data with Azure HDInsight |
Microsoft |
EdX |
| CS400 |
Introduction to Databases |
Stanford University |
Coursera |
| CS405 |
Text Retrieval and Search Engines |
University of Illinois at Urbana-Champaign |
Coursera |
| CS407 |
Text Mining and Analytics |
University of Illinois at Urbana-Champaign |
Coursera |
| CS408 |
Data Visualization |
University of Illinois at Urbana-Champaign |
Coursera |
| CS413 |
Mining Massive Datasets |
Stanford University |
Coursera |
| CS453 |
Advanced Databases |
Saylor |
Saylor |
| MECH E442 |
Vehicle Dynamics I: Accelerating and Braking |
Helmut-Schmidt-Universitat Hamburg |
Iversity |
| MECH E443 |
Vehicle Dynamics II: Cornering
|
Helmut-Schmidt-Universitat Hamburg |
Iversity |
| MECH E444 |
Vehicle Dynamics III: Vertical oscillations
|
Helmut-Schmidt-Universitat Hamburg |
Iversity |
| MRKT410 |
Digital Analytics for Marketing Professionals: Marketing Analytics in Practice |
University of Illinois at Urbana-Champaign |
Coursera |
| PUB H0 |
Mobile Healthcare technologies for patients and providers |
Georgia Institute of Technology |
Coursera |
| STATS80 |
Big Data and Social Physics |
MIT |
EdX |
| STATS120 |
Statistics: Making Sense of Data |
University of Toronto |
Coursera |
| STATS120 |
I "Heart" Stats: Learning to Love Statistics |
NotreDame |
EdX |
| STATS202 |
Descriptive Statistics |
University of Amsterdam |
Coursera |
| STATS202 |
Introduction to Statistics: Descriptive Statistics |
University of California, Berkeley |
EdX |
| STATS202 |
Intro to Descriptive Statistics |
Udacity |
Udacity |
| STATS205 |
Introduction to Statistics |
Saylor |
Saylor |
| STATS205 |
Statistics One |
Princeton University |
Coursera |
| STATS205 |
Intro to Statistics |
Udacity |
Udacity |
| STATS205 |
Statistics |
Udacity |
Udacity |
| STATS212 |
Statistics II |
Saylor |
Saylor |
| STATS216 |
Statistics for Business – I |
IIMB |
EdX |
| STATS217 |
Statistics for Business - II |
IIMB |
EdX |
| STATS245 |
Evaluating Social Programs |
MIT |
EdX |
| STATS273 |
Explore Statistics with R |
Karolinska Institutet |
EdX |
| STATS280 |
Intro to Hadoop and MapReduce |
Udacity |
Udacity |
| STATS304 |
Intro to Data Science |
Udacity |
Udacity |
| STATS304 |
The Data Scientist’s Toolbox |
Johns Hopkins University |
Coursera |
| STATS305 |
R Programming |
Johns Hopkins University |
Coursera |
| STATS310 |
Regression Models |
Johns Hopkins University |
Coursera |
| STATS333 |
Statistics and R for the Life Sciences |
Harvard |
EdX |
| STATS350 |
Applied Logistic Regression |
The Ohio State University |
Coursera |
| STATS350 |
Applied Regression Analysis |
The Ohio State University |
Coursera |
| STATS356 |
Unpredictable? Randomness, Chance and Free Will |
National University of Singapore |
Coursera |
| STATS356 |
Introduction to Statistics: Probability |
University of California, Berkeley |
EdX |
| STATS360 |
Introduction to Probability Theory |
Saylor |
Saylor |
| STATS360 |
Introduction to Probability Theory |
IIT Bombay |
NPTEL |
| STATS360 |
Probability and Statistics |
IIT Kharagpur |
NPTEL |
| STATS360 |
Introduction to Probability - The Science of Uncertainty |
MIT |
EdX |
| STATS360 |
Probability |
University of Pennsylvania |
Coursera |
| STATS365 |
Sampling Theory |
IIT Kanpur |
NPTEL |
| STATS372 |
Statistical Reasoning for Public Health 1: Estimation, Inference, & Interpretation |
Johns Hopkins University |
Coursera |
| STATS375 |
Getting and Cleaning Data |
Johns Hopkins University |
Coursera |
| STATS376 |
Data Visualization and D3.js |
Udacity |
Udacity |
| STATS377 |
Data, Analytics and Learning |
UTArlington |
EdX |
| STATS378 |
Foundations of Data Analysis |
UTAustin |
EdX |
| STATS378 |
Data to Insight: An Introduction to Data Analysis |
The University of Auckland |
FutureLearn |
| STATS380 |
Computing for Data Analysis |
Johns Hopkins University |
Coursera |
| STATS380 |
Data Analysis with R |
Udacity |
Udacity |
| STATS380 |
Computational Methods for Data Analysis |
University of Washington |
Coursera |
| STATS380 |
Introduction to Computational Thinking and Data Science |
MIT |
EdX |
| STATS380 |
The Analytics Edge |
MIT |
EdX |
| STATS385 |
Data Wrangling with MongoDB |
Udacity |
Udacity |
| STATS418 |
Big Data Analytics for Healthcare |
Georgia Institute of Technology |
Coursera |
| STATS430 |
The Caltech-JPL Summer School on Big Data Analytics |
Caltech |
Coursera |
| STATS442 |
Process Mining: Data science in Action |
Eindhoven University of Technology |
Coursera |
