DATA MINING AND VISUALIZATION (2/1 SCU)

Learning Outcomes:

On successful completion of this course, students will be able to: explain the concepts of exploratory data analysis, graphics, and data visualization; demonstrate creating graphs and building predictive models in R; interpret The results of exploratory data & predictive models; apply data exploration to craft stories  and analysis tools.

Topics:

1. Data, Exploratory Data Analysis, and R;
2. Graphics in R;
3. Exploratory Data Analysis: A First Look;
4. Working with External Data;
5. Linear Regression Models;
6. Crafting Data Stories;
7. Working with Text Data;
8. Exploratory Data Analysis: A Second Look;
9. Graphics in R;
10. Exploratory Data Analysis: a First Look;
11. Working with Text Data;
12. Exploratory Data Analysis: a Second Look;
13. More General Predictive Models;
14. Crafting Data Stories;
15. More General Predictive Models.