In this course, students will learn about the three main rules of data analysis and the associated statistical concepts relevant to performing different analytical methods. Using insight gaining from the data preprocessing step, students will learn how to identify a simple model with the ideal number of predictor variables.
At the end of the course, student will know:
1. How use the three main rules of data analysis to inform model selection.
2. How to run statistical analysis on data sets and interpret the results.
3. How to determine which variables align with the research questions posed.
Consider 3-hour lecture per week, and 4-6 hours per week on quizzes and ongoing real-world projects for homework.
for those considering a professional career in Data Analytics field