Python and Data Science course topics

Python and Data Science slides

Overview

• overview of Python's scientific packages
• setup and online versions
• Jupyter and IPython
• quick intro to NumPy, Pyplot, Pandas and scikit-learn

NumPy

• NumPy array basics
• creating arrays and operating with arrays

Pandas

• overview
• series and dataframe objects
• importing and exporting data
• querying data
• statistics on data
• manipulating data
• handling missing data
• plotting in pandas
• advanced pandas topics: cross tabulation, grouping, multi index

Pyplot

• plotting basics
• plot configuration and styling
• plot types

Machine learning: theory

• overview of machine learning methods
• introduction to tasks of supervised learning: regression and classification
• algorithms for supervised learning
  • neural networks
  • linear regression
  • k-nearest-neighbors
  • ...
• preparing data
• validation

Regression and classification with scikit-learn

Overview: Neural networks with keras