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ME114 Introduction to Data Science and Big Data Analytics

LSE Methods Summer Programme 2015

Kenneth Benoit, Department of Methodology, LSE
Slava Mikhaylov, University College London

Version: July 21, 2015

This repository contains the class materials for the LSE Methods Summer Programme course ME114 Introduction to Data Science and Big Data Analytics taught in August 2015 by Kenneth Benoit and Slava Mikhaylov.

Instructions for use

You have three options for downloading the course material found on this page:

  1. You can download the materials by clicking on each link.

  2. You can "clone" repository, using the buttons found to the right side of your browser window as you view this repository. This is the button labelled "Clone in Desktop". If you do not have a git client installed on your system, you will need to get one here and also to make sure that git is installed. This is preferred, since you can refresh your clone as new content gets pushed to the course repository. (And new material will get actively pushed to the course repository at least once per day as this course takes place.)

  3. Statically, you can choose the button on the right marked "Download zip" which will download the entire repository as a zip file.

You can also subscribe to the repository if you have a GitHub account, which will send you updates each time new changes are pushed to the repository.

Full course details

Resources for each day

Monday, August 17: Overview and introduction to data science [KB, SM]

Tuesday, August 18: Research design issues in data science [SM, KB]

Wednesday, August 19: Probability and statistical foundations [SM]

Thursday, August 20: Linear Regression [SM]

Friday, August 21: Generalized Linear Regression [SM]

Monday, August 24: Association rules and clustering [KB]

Tuesday, August 25: Machine Learning [KB]

Wednesday, August 26: Unsupervised learning and dimensional reduction [KB]

Thursday, August 27: Text analysis [KB]

Friday, August 28: Mining the Social Web [KB, SM]

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