Data Science: Principles, Tools and Best Practices

Accreditation: CPD - Continuing Professional Development
Duration: 30 hours
Mode of Study: Live online classes
Intake Dates: May and September*
Timetables: Click here for timetables
Tuition Fees: £1,150
For Frequently Asked Questions Click here

This module will investigate what data science is and will cover common terminology such as ‘big data,’ ‘data mining’ and ‘curation of data.’ You will also learn the essential programming skills for real-world application of data science practices.

At the end of this module, students will have acquired key technical and conceptual skills to strategically manage data in their departments and organisation.

Course Structure

Course focus

Data science terminology

Identifying trends from data

Applied mathematics and statistics

Data cleaning and preparation

Statistical hypothesis and interference. A/B testing.

Key Benefits

  • Familiarise with the meanings of the main processes in data science

  • Get to grips with the mathematics behind this field
  • Learn how to read and write quality code (pep8) for data analysis and plotting and explore data science tools (git, conda, pip, jupyter) and common libraries (pandas, numpy, scipy)
  • Understand the architecture and design of a data science project, how can this optimise performance and increase business competitiveness.


Entry Requirements


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