Week 1 - Introduction to Data Science

This week you will...

get an introduction to the following topics:

• What is data science?

• R vs. Python vs. SPSS vs. ...

• Jupyter Notebooks

Learning Resources

10MB

250417_Introduction.pdf

pdf

• Markdown Guide

Until next week you should...

• Optional: Register for GitHub Copilot as described here. As a student or teacher, you get free access to GitHub Copilot Pro following the instructions given here.

• watch this video on working with strings (16 minutes)

• watch this snippet on working with numbers (“Numbers” and “Working With Numbers”; 5 minutes)

• watch the first four chapters of this video on functions (12 minutes)

• watch this video on working with lists in Python (18 minutes)

• watch this video on setting up VS Code, specifically for Python and Data Science

• do the followings tasks:

  • Import the dataset "umsatzdaten_gekuerzt.csv", which you can download via the following link: https://raw.githubusercontent.com/opencampus-sh/einfuehrung-in-data-science-und-ml/main/wetter.csv

  • Calculate the overall average temperature.

  • Calculate the average temperature for the month of July.

  • Compare whether the months of July and May differ significantly in their average temperature.

  Remember that you can use Claude or ChatGPT for support at any time. Especially with relatively simple tasks, you can learn well how to solve assignments that you have never done before.