United Kingdom, London

Introduction to Data Science and Big Data Analytics

when 15 August 2016 - 26 August 2016
language English
duration 2 weeks
fee GBP 1435

Data Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Good data science requires experts that combine substantive knowledge with data analytical skills, which makes it a prime area for social scientists with an interest in quantitative methods. This course integrates prior training in quantitative methods (statistics) and coding with substantive expertise and introduces the fundamental concepts and techniques of Data Science and Big Data Analytics.

Course leader

Professor Kenneth Benoit
Dr Slava Mikhaylov

Target group

Typical students will be Masters and PhD students from any field requiring the fundamentals of data science or working with typically large datasets and databases. Practitioners from industry, government, or research organisations with some basic training in quantitative analysis or computer programming are also welcome. Because this course surveys diverse techniques and methods, it makes an ideal foundation for more advanced or more specific training. Our applications are drawn from social, political, economic, legal, and business and marketing fields, rather than engineering or other sciences.

Course aim

This course provides participants with:
an understanding of the structure of datasets and databases, including "big data"
the ability to work with datasets and databases
an introduction to programming languages and basic skills in the R statistical program
the ability to analyse data using statistical and machine learning methods.

Credits info

Students who wish to receive credit for their course will need to contact either their Study Abroad Office or the office in their university that deals with external credit. It is up to students' home institutions as to how much credit is awarded but the Methods Programme Office is happy to provide any necessary information to your registry or academic advisor, to help them evaluate the courses.

Fee info

GBP 1435: Student rate - available to current university (including PhD) students.
Academic staff and staff of UK charities are eligible for a reduced rate of £2,030.
GBP 2550: Standard rate