People Innovation Excellence
 

BUSINESS AND DATA ANALYTICS (4 SCU)

Learning outcomes:

On successful completion of this course, students will be able to explain the concepts of big data and business analytics, differentiate between descriptive analytics, predictive analytics, and prescriptive analytics, perform data processing steps, including data extraction, data understanding, data cleansing and transformation, perform data analysis and visualization to produce insights from data, create data mining models using financial datasets, perform optimization using Excel solver, propose analytics solutions to address various business challenges

Topics:

This course will cover the introduction to business analytics, the principles of big data technology and how it works, data processing and exploratory data analysis, creating visualization dashboard using Excel, introduction to data mining, regression modeling, forecasting techniques, classification modeling, Monte Carlo simulation and risk analysis, introduction to prescriptive analytics and optimizations, linear optimization using Excel solver and latest trend in analytics & example use cases

Pre-requisite(s): Statistic Fundamental for Business Studies


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