Course curriculum

  • 1

    Introduction to Python for Economics

    • Introduction to Python for Economics
  • 2

    Part 1: Overview of the Python Ecosystem

    • Overview of the Python Ecosystem
  • 3

    Part 2: Working with Python

    • Working with Python

    • Python installation

    • Package and Environment Management in Anaconda

    • Using the Command Prompt

    • Anaconda Navigator

    • Jupyter Notebooks

    • Execute Script

  • 4

    Part 3: Objects, Variables, and Datatypes

    • Objects, Variables, and Datatypes
  • 5

    Part 4: Mathematics in Python

    • Mathematics in Python
  • 6

    Working with Data

    • Part 5: Working with Data
  • 7

    Part 6: Control Flow Statements

    • Control Flow Statements
  • 8

    Part 7: Basic Data Visualisation

    • Basic Data Visualisation
  • 9

    Statsmodels and APIs

    • Part 8: Statsmodels and APIs
Watch Intro Video

Course introduction

Learning outcomes

At the end of this course, you will be able to:

  • Know different ways of setting up and working with Python, use and extend it’s libraries and existing documentation

  • Write, read, and review Python programs using basic programming techniques

  • Use Python for data cleaning and manipulation

  • Use Python for data analysis and visualisation

  • Use Python for data extraction

Course cost

Instructor

Paul Wohlfarth

Assistant Professor at Solbridge International School of Business (South Korea) PhD (Birkbeck, University of London ) | MSc (Warwick) | BA (Göttingen)