Course Description
This course introduces data analytics concepts and techniques, including descriptive statistics, descriptive multivariate analysis, data visualization, data quality and preprocessing, data transformation, frequency pattern mining, association rule mining and data clustering. Students will get a foundational understanding of data analytics and hands-on skills in data analytics.
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.
