Analytics for Leaders (Classroom & Synchronous e-Learning)
About This Course
We discuss what constitutes data analytics, factors for successful analytics, and apply analytics in mature markets. We look into best practices of descriptive analytics and predictive analytics and discuss how analytics changes business models. This will be applied to market analysis such as price formation and economic performance in competitive and monopolist markets by using optimization, statistical and stochastic methods.
In summary, learners will apply big data analytics to develop business insights, that aid in business leaders' decision making.
Preclusion: For NUS students undertaking this course THEN must not read BME5201 - Analytics for Leaders
What You'll Learn
1. Analyze and articulate the characteristics of big data.
2. Implement and leverage analytics in businesses to enhance decision making.
3. Execute best practices of analytics.
4. Develop the design of a data project.
5. Master how to bring value through analytics. Evaluate causal inference and associated techniques. Utilize various analytics techniques to make causal inferences.
Entry Requirements
Course Preclusion: IF undertaking this course THEN must not read BME5201 - Analytics for Leaders