University of Florida
- Regression Analysis
- Basic Design & Analysis of Experiments
- Linear Models
- Statistical Inference
- Probability Theory I
- Probability Theory II
- Generalized Linear Models
- Bayesian Theory
- Network Science and Applications
- Advanced Statistical Programming
- Analysis of Multivariate Data
- Statistical (Machine) Learning
- Limit Theory
- Clinical Trials Methods
Udacity
- Programming Foundations with Python
- Intro to Relational Databases
- Intro to Hadoop and MapReduce
- How to Use Git and GitHub
- A/B Testing
- Intro to Data Analysis
- Deep Learning
- Data Visualization and D3.js
- JavaScript Basics
- Data Wrangling with MongoDB
edX
- The Analytics Edge
- Data Science Essentials
- Introduction to Python for Data Science
- Introduction to Apache Spark
- Distributed Machine Learning with Apache Spark
- Big Data Analysis with Apache Spark
Coursera