This course covers fundamental probability and statistical methods necessary for understanding and conducting data analysis. Data Analytics is the process of examining data with the purpose of drawing conclusions and discovering useful information. In this science, probability theory provides the foundation for many of the fundamental data analyses and modelling techniques widely used today. Statistical methods, such as hypothesis testing, are used to draw conclusions about data and provide a foundation for more sophisticated data analysis techniques. Viewing questions about data from a statistical perspective allows data scientists to create more predictive algorithms to convert data into knowledge. At the end of this course, students will have a thorough understanding of probability theory and statistical methods which are fundamental in Data Analysis. From such understanding, students will better be able to interpret data and apply Data Analysis techniques.
Department of Mathematics and Statistics
Faculty of Science and Technology
Cost (including Compulsory Fees): TTD 3769.00
- Pre-Requisites: None
- Course Credits: 3
- Assessment: TBA
- Mode: Face to Face
- Duration: Lectures: September – December 2026
- Lecture Time: Mondays 6:00pm – 8:00pm and Saturdays 9:00am – 11:00am
For More Information, Contact: devika.bhagwandin@sta.uwi.edu