Course Description
The course will cover basic programming using R. Probability and statistical computation using R. Course topics include numerical and graphical summaries of data, hypothesis testing, confidence intervals, analysis of variance, regression, cluster analysis, data cleaning. At the end of the course student should be able to apply statistical inference procedures and draw conclusions.
Course Outcomes
After completing the course, students should be able to:
- Demonstrate and apply descriptive statistics.
- Demonstrate and apply descriptive multivariate analysis
- Demonstrate and apply data visualization methods and tools.
- Demonstrate and apply data preprocessing methods.
- Demonstrate and apply frequent patterns mining and association rule mining methods.
- Demonstrate and apply clustering techniques.
- Present data analytics solutions and conclusions professionally.
