This is the Data Science course material and lectures.
This course covers several packages that are common to users who use python for scientific data analysis: NumPy, pandas, and Dask. NumPy and pandas support analysis of arrays and matrices (including images and time series data),while Dask enables parallelization and aids with handling large data volumes (perhaps you’ll find this discussion useful).
This is a “follow along” class, meaning that you will be working on your computers during the exercises (ideally). Please try to have your computers set up and ready to go with “Course 0” on https://github.com/helio670/setup
May 28, 2019
Building 21 Room 183A
| Time | Topic | Link |
|---|---|---|
| 09:00 - 09:30 | setup & questions | |
| 09:30 – 11:00 | Advanced NumPy (Daniel Da Silva) | Link |
| 11:00 – 12:00 | Advanced Pandas (Brent Smith/Jules Kouatchou) | Link |
| 12:00 - 13:00 | Lunch | |
| 13:00 - 14:00 | Introduction to Dask (Brent Smith) | Link |
| 14:00 - 15:30 | Real-Time Data Science Applications (Brent Smith) | Link |
| 15:30 - 16:00 | Q&A |