Big data and data science proficiency will underpin the success of the agile business of tomorrow, regardless of the sector. This range of short courses is designed for participants to progress their careers in this fast moving and exciting field.

This course enables participants to model and interpret data. With a comprehensive combination of theory and practice, participants will learn how to construct, analyse and present integrated data sets and deliver valuable insights for their organisations.

Category:
Data Science
Fees:
Effort Per Week:
11 hours
Duration:
12 weeks

This course builds on the theoretical knowledge gained in the Data Science course to focus on the practical applications of working with Big Data. Participants will study a variety of programming languages and work in depth with the Python language to implement a Map Reduce algorithm on a work-based data set.

Category:
Data Science
Fees:
Effort Per Week:
16 hours
Duration:
4 weeks

This course builds on the theoretical knowledge gained in the Data Science and the Programming for Big Data Part I courses and prepares participants to manage and solve advanced Big Data problems in a hands-on digital business environment.

Category:
Data Science
Fees:
Effort Per Week:
15 hours
Duration:
5 weeks