1. Outline Class Intros Overview of Course & Series Example Research Projects Beginning R

2. What are your goals? What types of problems? datasets? Which software do you currently use? Introductions

3. Specialized Software Programming Language Statistical Software DataViz Who What When Where Why or How?

4. Course / Certificate Overview u

5. TBAN100 APPLIED STATISTICS TBAN120 DATABASE MANAGEMEN T TBAN130 DATA MINING TBAN110 PREDICTIVE MODELING

6. Comparison of Data-Related Certificates

7. Modeler Survey of Data-Related Roles

8. Predictive Analytics Data Analysis SoftwareStatistics Data Mining

10. Continuous & Categorical Variables ContinuousCategorical Continuous Categorical Histogram Scatter Bar Cross Table Boxplot Predictor Variable (X-Axis) Pie Height Smartphone? Yes or No (Frequency) Outcome, Dependent Variable (Y-Axis) Mosaic Cross Table Logistic Regression Linear Regression Decision Trees

11. Breadth vs. Depth vs. Relevancy Class Project

12. Variables Y X’s Height Independent Variables Dependent Variables Y X4 X3 X2X1

13. Extensions to Linear Regression Interaction (Non-Linear) Structural Equation Modeling Moderation Mediation Advanced Lasso Ridge Regularized

14. HR Example

15. TBAN110 PREDICTIVE MODELING

16. TBAN120 DATABASE MANAGEMENT SYSTEMS Normalization Database creation Generating Reports Changing Databases Join Structured Query Language

17. TBAN130 DATA MINING