Skip to content

Latest commit

 

History

History
42 lines (31 loc) · 678 Bytes

File metadata and controls

42 lines (31 loc) · 678 Bytes

Python for Data Analysis

It's a crash course of Python for DS.

Day 1

Morning session:

  • Introduction to Jupyter Notebook environment,
  • Basic Python
    • syntax, variables, assignments, data types
    • lists
    • loops
    • functions

Afternoon session:

  • Introduction to Object Oriented Programming
    • classes
    • objects
    • magic methods
  • Exceptions
  • Context managers
  • modules, packages, pip

Day 2

Morning session:

  • Using pandas:
    • DataFrame
    • Series
    • basic data analysis with pandas
    • selecting

Afternoon session:

  • Visualization using matplotlib, seaborn
  • Numpy arrays
  • scipy statistics package
  • scikit-learn intro
  • ML example