Information Technology

Big Data Summer School

August 25, 2016

2016 LSE Methods SchoolI participated in LSE Methods Summer School, organised by the Department of Methodology. I took a course in Introduction to Data Science and Big Data Analytics.

The course covered the following topics:

  • an overview of data science and the challenge of working with big data using statistical methods
  • how to integrate the insights from data analytics into knowledge generation and decision-making
  • how to acquire data, both structured and unstructured, and to process it, store it, and convert it into a format suitable for analysis
  • the basics of statistical inference including probability and probability distributions, modelling, experimental design
  • an overview of classification methods and related methods for assessing model fit and cross-validating predictive models
  • supervised learning approaches, including linear and logistic regression, decision trees, and naïve Bayes
  • unsupervised learning approaches, including clustering, association rules, and principal components analysis
  • quantitative methods of text analysis, including mining social media and other online resources
  • social network analysis, covering the basics of social graph data and analysing social networks
  • data visualisation through a variety of graphs.