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AC 209B - Advanced Topics in Data Science II

Professional Graduate Data Science Coursework - Spring semester 2017

Description:

The course is the second part of a series about advanced data science methods. Topics include the handling of big data and database management with spark, the use of non-linear statistical models such as smoothers and GAM, unsupervised learning, and deep learning with neural networks. The major programming languages are R and Python.

File Layout

The directory structure is as follows:

DIRECTORY DESCRIPTION
. Files such as README and gitignore
./hw/ The homework project files
./labs/ Material from the labs
./lectures/ Material from the lectures
./videos/ Videos from the lectures and labs

Website

You can access all the coursework etc. here.

About

AC-209b: Advanced topics in Data Science course tought at Harvard - Spring semester 2017

http://www.timhagmann.com/

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