DATA MINING AND VISUALIZATION (2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – explain exploratory data analysis; LO2 – demonstrate to creating graphs in R; LO3 – demonstrate building predictive models; LO4 – interpret the results of explorartory data analysis; LO5 – apply exploratory data to crafting stories.

Topics:

1. Introduction to Exploratory Data Analysis;
2. Graphics in R;
3. Exploratory Data Analysis: A First Look;
4. Working with external data;
5. Building Predictive Models: Linear Regression Models;
6. Crafting Data Stories;
7. Working with Text Data;
8. Exploratory Data Analysis: A Second Look;
9. More General Predictive Modles.