Programming for Business Analytics (Competence)

'Data Science involves both a theoretical foundation of Statistics and practical implementation via programming. The two are typically covered separately, but his course aims to bring theory and practice together.It starts with some Python programming fundamentals, then walks through Statistics topics from visualizing and summarizing data, to estimating model parameters and hypothesis testing, and then linear regression. For each topic, Python illustrations and experimentations are interwoven to help students better appreciate how it practically works. Completing the cycle, the course finallydeals with acquiring, cleaning, and organizing data using Python. Students can then independently execute a Data Science project.'