Programme Content
Module 1: Mapping business decisions to data
Understand how organisations ensure that appropriate data guides their decisions to achieve better results.
Module 2: Getting creative with Big Data
Learn how to generate value from available data with a creative mindset, and apply learnings to find the best solutions to presented problems.
Module 3: Experimental design
Understand how experiments should be designed based on the robust principles of experimental design – identifying key performance drivers and testing alternative hypotheses.
Module 4: Machine learning
Analyse the intuition of different algorithms, and evaluate their trade-offs.
Module 5: Causal analytics
Explore the significance of causal analytics in demonstrating business value, and learn different methods to run causal analysis.
Module 6: Generative AI
Gain a comprehensive understanding of what generative AI and machine learning are, how they are different from each other and the intuition of how generative AI works.
Module 7: Legal and ethical use of data and AI
Explore the legal and ethical dimensions of data usage in the context of machine learning and generative AI.
Module 8: Making business analytics and AI happen
Learn to align projects with business goals, and foster a data-driven culture to overcome organisational challenges in analytics projects.
