This fundamental course introduces basic concepts of big data, descriptive analytics, predictive analytics, and related tools. It elaborates on practical topics like data collection, data exploration, feature selection, data transformation, data visualization, data mining, model evaluation, and business insights deriving. The hands-on case studies mainly focus on using Python programming to implement data analysis processes in business contexts. Popular analysis tools, including NumPy, Pandas, Seaborn, SciKit-Learn, etc. will be employed for tutorials and exercises. It will also discuss legal, ethical, and professional codes related to data analysis. This course will set the foundation for other courses in this program.

CILO-1: To describe the different types of business analytics. CILO-2: To describe the general process of data analytics. CILO-3: To conduct data analysis and evaluate results. CILO-4: To conduct effective digital storytelling using appropriate tools. CILO-5: To describe the importance of responsible data analytics.