CW3611 Business Analytics Laboratory Syllabus:
CW3611 Business Analytics Laboratory Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
Implement various machine learning techniques for predictive analysis
Learn the various software development methodologies
Learn predictive analysis in HR, supply chain
Learn predictive analysis in marketing and sales
LIST OF EXPERIMENTS:
1. Implement Machine learning techniques for Predictive analytics.
2. Predict the Customer Credit Risk for Credit card data-set using Linear Regression
3. Apply HR Analytics to make a prediction of the demand for hourly-employees for the following month or for the next few years
4. Apply analytics for forecasting and inventory planning for a large retailer.
5. Perform predictive analytics for customers’ behaviour in marketing and sales
List of Equipments:(30 Students per Batch)
1: Systems with R, R Studio (Additional libraries required)
COURSE OUTCOMES:
CO1: Implement Machine learning techniques for Predictive analytics.
CO2: Analyse prediction using Linear Regression
CO3: Perform analytics for forecasting and inventory planning for a large retailer.
CO4: Apply predictive analysis in HR, supply chain
CO5: Apply predictive analysis in marketing and sa
