BUSINESS PROJECTION AND FORECASTING (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – Understand the Fundamentals of Business Analytics; LO2 – apply Business Intelligence Tools for Data Analysis; LO3 – analyze and Interpret Probability Distributions and Statistical Inference; LO4 – demonstrate Forecasting Models Using Time Series and Optimization Techniques; LO5 – Examine Data Mining Techniques for Business Insights; LO6 – predict Decision-Making Under Uncertainty and Experimental Design.

Topics:

1. Introduction to Business Analytics;
2. Describing the Distribution of Variable;
3. Finding Relationships Among Variables;
4. Business Intelligence (BI) Tools for Data Analysis: Power Query, Power PIVOT;
5. Probability and Probability Distributions;
6. Decision Making under Uncertainty;
7. Statistical Inference;
8. Regression Analysis: Estimating Relationships & Statistical Interference;
9. Time Series Analysis and Forecasting;
10. Optimization Models;
11. Simulation Models;
12. Data Mining: Classification, Clustering and Market Basket Analysis;
13. Analysis of Variance and Experimental Design;
14. Statistical Process Control.