Syllabus
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Course Code: DSE-63 Course Name: Business Analytics-II |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | Advanced Statistical Analysis using MS-Excel: Advanced statistical modeling techniques; Hypothesis testing and inference; Regression analysis and model interpretation; Time series analysis and forecasting | |
| 2 | Predictive Analytics: Overview of predictive analytics and its applications; Feature selection and dimensionality reduction; Evaluation and validation of predictive models | |
| 3 | Big Data Analytics: Introduction to big data and its characteristics; Distributed computing frameworks; Data processing and analysis in a big data environment; Machine learning on big data; Real-time analytics and streaming data processing | |
| 4 | Prescriptive Analytics: Optimization modeling and linear programming; Network optimization and graph algorithms; Decision analysis and decision support systems; Prescriptive analytics in supply chain management and operations | |
| 5 | Advanced Business Analytics Applications: Social media analytics and sentiment analysis; Fraud detection and anomaly detection; Web analytics and clickstream analysis; Recommendation systems and personalization | |
