| ACCT140 |
Financial Accounting Made Fun: Eliminating Your Fears |
Babson |
EdX |
| CS101 |
Programming for Everybody (Python) |
University of Michigan |
Coursera |
| CS101 |
CS For All: Introduction to Computer Science and Python Programming |
HarveyMudd |
EdX |
| CS121 |
Paradigms of Computer Programming |
Louvain |
EdX |
| CS122 |
Elementary Data Structures |
Saylor |
Saylor |
| CS250 |
Agile Software Development |
EPFL |
EdX |
| CS250 |
Python for Genomic Data Science |
Johns Hopkins University |
Coursera |
| CS265 |
Learn to Program: Crafting Quality Code |
University of Toronto |
Coursera |
| CS381 |
Big Data Analysis with Apache Spark |
University of California, Berkeley |
EdX |
| CS382 |
Data Science Essentials |
Microsoft |
EdX |
| CS385 |
Developing Data Products |
Johns Hopkins University |
Coursera |
| CS387 |
Processing Big Data with Azure HDInsight |
Microsoft |
EdX |
| CS400 |
Intro to Relational Databases |
Udacity |
Udacity |
| CS407 |
Text Mining and Analytics |
University of Illinois at Urbana-Champaign |
Coursera |
| GL90 |
Understanding Research Methods |
University of London |
Coursera |
| MATH90 |
Intro Algebra Review |
Udacity |
Udacity |
| MATH96 |
Pre-University Calculus |
Delft |
EdX |
| MATH171 |
Calculus I |
Saylor |
Saylor |
| MATH212 |
Linear Regression Analysis |
IIT Kanpur |
NPTEL |
| MATH220 |
Linear Algebra - Foundations to Frontiers |
UTAustin |
EdX |
| MGT168 |
Effective Problem-Solving and Decision-Making |
University of California, Irvine |
Coursera |
| MGT169 |
The Art of Negotiation |
University of California, Irvine |
Coursera |
| MGT170 |
Project Management: The Basics for Success |
University of California, Irvine |
Coursera |
| MGT179 |
Shaping the Future of Work |
MIT |
EdX |
| MGT193 |
Power Onboarding |
Northwestern University |
Coursera |
| MGT210 |
How to Read Your Boss |
The University of Nottingham |
FutureLearn |
| MGT250 |
Business and Data Analysis Skills |
Fullbridge |
EdX |
| NER S260 |
Exploring Neural Data |
Brown University |
Coursera |
| PHAR0 |
Case-Based Introduction to Biostatistics |
Johns Hopkins University |
Coursera |
| PHIL180 |
Think Again: How to Reason and Argue |
Duke University |
Coursera |
| PUB H0 |
Design and Interpretation of Clinical Trials |
Johns Hopkins University |
Coursera |
| PUB H0 |
Introduction to Systematic Review and Meta-Analysis |
Johns Hopkins University |
Coursera |
| STATS80 |
Big Data and Social Physics |
MIT |
EdX |
| STATS93 |
Preparing for the AP* Statistics Exam |
Tennessee Board of Regents |
EdX |
| STATS120 |
I "Heart" Stats: Learning to Love Statistics |
NotreDame |
EdX |
| STATS202 |
Descriptive Statistics |
University of Amsterdam |
Coursera |
| STATS212 |
Statistics II |
Saylor |
Saylor |
| STATS216 |
Statistics for Business – I |
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 |
| 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 |
| STATS360 |
Probability and Statistics |
IIT Kharagpur |
NPTEL |
| STATS365 |
Sampling Theory |
IIT Kanpur |
NPTEL |
| STATS367 |
Statistical Inference |
Johns Hopkins University |
Coursera |
| STATS369 |
A/B Testing |
Udacity |
Udacity |
| STATS372 |
Statistical Reasoning for Public Health 1: Estimation, Inference, & Interpretation |
Johns Hopkins University |
Coursera |
| STATS373 |
Statistical Reasoning for Public Health 2: Regression Methods |
Johns Hopkins University |
Coursera |
| STATS375 |
Getting and Cleaning Data |
Johns Hopkins University |
Coursera |
| STATS375 |
Passion Driven Statistics |
Wesleyan University |
Coursera |
| STATS378 |
Core Concepts in Data Analysis |
Higher School of Economics |
Coursera |
| STATS380 |
The Analytics Edge |
MIT |
EdX |
| STATS380 |
Computing for Data Analysis |
Johns Hopkins University |
Coursera |
| STATS380 |
Data Analysis |
Johns Hopkins University |
Coursera |
| STATS380 |
Exploratory Data Analysis |
Johns Hopkins University |
Coursera |
| STATS382 |
Big Data: Measuring and Predicting Human Behaviour |
The University of Warwick |
FutureLearn |
| STATS384 |
Reproducible Research |
Johns Hopkins University |
Coursera |
| STATS390 |
Applied Multivariate Analysis |
IIT Kanpur |
NPTEL |
| STATS405 |
Practical Machine Learning |
Johns Hopkins University |
Coursera |
| STATS412 |
Mathematical Biostatistics Boot Camp |
Johns Hopkins University |
Coursera |
| STATS413 |
Mathematical Biostatistics Boot Camp 2 |
Johns Hopkins University |
Coursera |
| STATS415 |
Probabilistic Graphical Models |
Stanford University |
Coursera |
| STATS422 |
Experimentation for Improvement |
McMaster University |
Coursera |
| STATS430 |
The Caltech-JPL Summer School on Big Data Analytics |
Caltech |
Coursera |
| STATS436 |
Model Building and Validation |
Udacity |
Udacity |
| STATS442 |
Process Mining: Data science in Action |
Eindhoven University of Technology |
Coursera |
| TRDEV220 |
U.Lab: Transforming Business, Society, and Self |
MIT |
EdX |
