As we've seen, there are many lifetimes of material that can be covered in data science:
Beginning with next week (5/19) we'll have five weeks remaining.
We'll reserve 1 week for final presentations.
Major Directions we might go for the remaining four include:
- Statistical and Mathematical Underpinnings
- p-values, inference
- Data Analytics
- munging, cleaning, subsetting, visualizing
- Developing Data Products
- flask, shiny, d3
- Data Engineering
- databases (SQL, NoSQL, Hadoop, scalable systems + infrastructure), maximizing speed + efficiency, writing Machine Learning from scratch