Data Analysis: Statistical Modeling and Computation in Applications

6.419x is the applied capstone-style course in the MITx MicroMasters Program in Statistics and Data Science. It combines the mathematics, statistics, machine learning, programming and visualisation skills that data science requires with domain knowledge, so that learners can ask and answer questions using real data. The course begins with a review of common statistical and computational tools, including hypothesis testing, regression and gradient descent, and then studies models and methods for four domain areas: epigenetic codes and data visualisation, criminal networks and network analysis, prices, economics and time series, and environmental data and spatial statistics.

In each area learners analyse a real dataset and present their findings in a written report, and discuss practical issues with peers. The course is instructor-paced and estimated at 16 weeks; the catalogue lists 10 to 15 hours per week, at a level MIT compares with an on-campus class. Auditing is free with access to the course and materials, while the $300 certificate track adds graded assignments and exams and an MIT certificate on completion, counting toward the MicroMasters credential with the programme's other courses.