On the left are topics in Data Science (predictive modeling, text mining, programming, the challenges of "Big Data" and unstructured data).

On the right are topics in Statistics, as used in research and data analysis (biostatistics, inference, statistical models, Bayesian techniques, study design).

Need advice on what which course to take? Contact us with your goals and background, and one of our instructors will provide some suggestions.

### Data Analytics

### IT/Programming

### Spatial Analytics

### Operations Research and Risk

### Stats for Credit

### Introductory

### Review/Prep

### Statistical Modeling

### Methods

### Clinical Trials

### Social Science

### Survey Statistics

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