A Practical Guide to Teaching Python as a Computational Tool in an Introductory Data Analysis Course

Serveh Sharifi Far; Ruini Qu; Stuart King

doi:10.2218/ED.9781836450795

A Practical Guide to Teaching Python as a Computational Tool in an Introductory Data Analysis Course

Authors

Serveh Sharifi Far

School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh

Ruini Qu

Edinburgh Business School, University of Edinburgh

Stuart King

School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh

DOI: https://doi.org/10.2218/ED.9781836450795.23

Synopsis

This chapter provides a practical guide for integrating Python into an introductory data science course. The chapter addresses the challenge of teaching statistical and programming skills together, offering a step-by-step approach that helps students connect technical coding skills with data science concepts.

Educators looking to balance theory with practical application in data science education will find this chapter useful.