Data Analysis: Statistical Modeling and Computation in Applications

A hands-on introduction to the interplay between statistics and computation for the analysis of real data. — Part of the MITx MicroMasters program in Statistics and Data Science.


This course will start with a review of common statistical and computational tools such as hypothesis testing, regression, and gradient descent methods.

Then, learners will study common models and methods to analyze specific types of data in four different domain areas:

  • Epigenetic Codes and Data Visualization
  • Criminal Networks and Network Analysis
  • Prices, Economics and Time Series
  • Environmental Data and Spatial Statistics

Learners will be guided to analyze a real data set from each of these areas of focus, and present their findings in written reports. They will also discuss relevant and practical issues with peers.

What’s included

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