A data science life cycle defines the phases (or steps) in a data science project. Using a well-defined data science life cycle is useful in that it provides a common vocabulary (and shared mental model) of the work to be done. This module goes over the data science life cycle with real-world case studies.

January 5, 2022 to March 9, 2022, Zoom + Canvas
Machine learning is in high demand, as companies and organisations are looking for ways to turn their data into actionable insights. This module covers state-of-the-art machine learning models focusing on classification and regression problems. Participants will learn how to train, evaluate, and deploy the machine learning models.

January 9, 2022 to March 27, 2022, Zoom + Canvas
April 6, 2022 to June 8, 2022, Zoom + Canvas
Big data has become a challenge for many traditional data analytics techniques. This module introduces big data infrastructure, distributed computational paradigm, and distributed data analytics algorithms for common real-world applications.

April 10, 2022 to June 26, 2022, Zoom + Canvas
July 6, 2022 to September 7, 2022, Zoom + Canvas