M.Sc. Information Technology - University of the West Indies Cave Hill Campus

Big Data Analytics

Offered
Semester I or II

Category Core Course

Students M.Sc & Diploma

Description:

This course examines the theoretical and practical techniques used in the analysis of large data sets. It covers data collection, data pre-processing, predictive, prescriptive and descriptive analytics as well as social network analytics. The course will facilitate discussion of case studies that involve big data analytics including fraud detection, web analytics and recommender systems. This course targets students who intend to pursue careers as data scientists work in the field of data analytics. Due to the data and technology intensive nature of the material, this course will be delivered primarily through face-to-face instruction and hands-on lab sessions.

Some Resources

Learn data science

LEARNING OUTCOMES

Describe the analytics process model
Identify the requirements of the analytical model
Explain the nomenclature used in data analytics
Prepare data for pre-processing and collection
Produce cleaned data to be used for analysis
Analyse large data sets using different techniques
Recommend data collection and analytical approaches to use based on project requirements