Course Description
This course helps students make sense of business datasets using programming languages for machine learning and visualization. The course provides students with an understanding of a scientific procedure for systematic data analytics. It introduces the popular algorithmic solutions to big data exploration, supervised learning, unsupervised learning, and visualization. Upon the completion of this course, student will gain data analytical skills for common machine learning and visualization problems in business domain.
Intended Learning Outcomes
CILO-1: Describe the applications of machine learning for business decision making.
CILO-2: Classify and predict using basic machine learning algorithms.
CILO-3: Jointly apply theoretical analysis, machine learning to do the data analysis.
CILO-4: Deliver appropriate solutions to real-world machine learning problems in business domain.