Data Analytics

Module code: CO2106
Module co-ordinator: TBC

In this module, you will:

  • Explain and critique case studies such as those of Google, Facebook, Kaggle and similar. Solve simple problems using basic tools such as linux command line, and Python and Perl
  • Solve problems involving realistic database data, such as errors, missing values, and consistency. Explain the relational model and use the SQL language
  • Explain, discuss and solve problems in a range of areas such as matrices for relations between data, clustering, and graphs
  • Explain and solve problems using datastructures to scale analytics to big data and data streams. Sketch and design datastructures for complex data analysis

Learning

  • 24 hours of lectures
  • 8 hours of tutorials
  • 16 hours of practical classes and workshops
  • 102 hours of guided independent study

Assessment

  • Coursework (40%)
  • Exam, 2 hours (60%)