DATA ANALYTICS (2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – describe the data analytics process; LO2 – identify appropriate data processing and cleaning techniques to maintain data quality; LO3 – analyze data to find insights from datasets; LO4 – apply predictive analytic to support decision making.

Topics:

1. Additional Predictive Methods;
2. Cheat Sheet and Project on Descriptive Analytics;
3. Cheat Sheet and Project on Predictive Analytics;
4. Clustering;
5. Data Quality and Preprocessing (1);
6. Data Quality and Preprocessing (2);
7. Descriptive Multivariate Analysis;
8. Descriptive Statistics;
9. Frequent Pattern;
10. Introductory Background;
11. Popular Data Analytics Applications;
12. Predicting Using Classification;
13. Predicting Using Regression.