Link to google doc with shared syllabus brainstorming
(Daniel moved individual course learning objectives to the README in the corresponding repo)
Students who complete all five courses of this specialization will:
- Be proficient with R
- Read and write data from a variety of sources relatively effortlessly
- Tidy messy data
- Quickly and efficiently explore data
- Be able to produce dynamic and reproducible documents in a variety of
formats
- Manuscripts, technical reports
- Interactive HTML docs (potentially including websites)
- Be proficient with data visualization
- Understand current thinking in best data visualization practices
- Be able to quickly produce a range of data visualizations appropriate for the given task
- Be able to build basic predictive models
- Understand differences between inferential and predictive modeling, and which is most appropriate for a given scenario.