United Kingdom, London

Data Science: Foundations of Data Analytics

when 15 July 2018 - 4 August 2018
language English
duration 3 weeks
credits 7.5 EC
fee GBP 1995

The most important aspect of computer science is problem solving, an essential skill for life.

Students study the design, development and analysis of software and hardware used to solve problems in a variety of business, scientific and social contexts. During this course, students will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making. Students would be expected to have some basic knowledge of linear algebra and calculus.

Data Analytics involves being about to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making. The course will cover a number of topics, please see the course webpage for detailed information on the topics covered.

Course leader

Professor Florin Ciucu

Target group

Students would be expected to have some basic knowledge of linear algebra and calculus, however this course is open to anyone aged 18+ with no prior knowledge necessary.

Course aim

To understand the foundational skills in data analytics, including preparing and working with data; abstracting and modelling an analytic question; and using tools from statistics, learning and mining to address the question.

Credits info

7.5 EC
Equivalent of a 15 CAT module from an Undergraduate Degree.
European system: 7.5 ECTS
US system: approximately 3 credits.

Fee info

GBP 1995: Tuition Fee (various discounts available including early booking 10% reduced fee)

Scholarships

- If you apply before the 30 April 2018 you will be given a 10% discount code to enter at our payment pages.
- For groups of 5 or more students from the same institution, Warwick partners and alumni we offer a 20% discount on tuition fees and a tuition