Course Syllabus
- Introduction to programming languages for Data Analytics (Python, R)
- Data pre-processing (parsing, normalization)
- Exploratory data analysis (clustering, visualization)
- Building and evaluating predictive models (regression, classification)
- Designing the data pipeline
- Instructor: Mehdi Elahi
- Instructor: Marko Tkalcic
- Instructor: Guohui Xiao