This course introduces to students the advanced statistical and decision analysis tools. It emphasizes on the applications of data analytics techniques in business practices. Students will learn the intuition behind the methods and build hands-on experiences using Python, which is the most popular programming tool with versatile applications in finance and economics.
Intended Learning Outcomes
CILO-1: Gain an in-depth understanding of financial data extraction, wrangling, exploration and analytics.
CILO-2: Identify “Python” package and its applications in different financial and business contexts.
CILO-3: Perform simple data analytics techniques in complex or untraditional environment making use of “Python” package.
CILO-4: Perform supervised and unsupervised machine learning tasks using “Python” package and libraries.
CILO-5: Deliver solutions to real-world problems in finance and business domains programmatically and analytically.