1.4. About Agenda

  • Training course: 9:00 - 17:00

  • Lunch break: 13:15 - 14:00

  • 10 min break every one/one-and-half hour

1.4.1. Day 1

  • 09:00 - 09:15 - Course introduction and organizational issues

  • 09:15 - 10:00 - Environment setup and configuration, virtualenv, packages, installing modules

  • 10:00 - 12:00 - Jupyter and introduction to scipy ecosystem

  • 12:00 - 13:00 - Lunch Break

  • 13:00 - 17:00 - Numpy: working with files and input, np.array

1.4.2. Day 2

  • 09:00 - 12:00 - Numpy: slice, index, np.array methods, logic operators

  • 12:00 - 13:00 - Lunch Break

  • 13:00 - 17:00 - Pandas: series, data frames, methods, indexes slicing, time series

1.4.3. Day 3

  • 09:00 - 12:00 - Pandas: methods, grouping, aggregations, plotting

  • 12:00 - 13:00 - Lunch Break

  • 13:00 - 16:00 - Matplotlib: plotting, styles, comparison with other libs

  • 16:00 - 17:00 - Short introduction to sklearn (as per request)