# 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

{% file src="/files/XVPYuvR2tX58Za4PILM7" %}

* [Markdown Guide](https://colab.research.google.com/notebooks/markdown_guide.ipynb)

### Until next week you should...

* [x] Register for GitHub Copilot as described [here](https://docs.github.com/en/copilot/quickstart) or download Cursor (includes a 1 week Pro trial) as described [here](https://cursor.com/download) to use it instead of VS Code (Cursor and VS Code are mainly identical).\
  As a student or teacher, you get free access to GitHub Copilot Pro following the instructions given [here](https://docs.github.com/en/copilot/managing-copilot/managing-copilot-as-an-individual-subscriber/getting-started-with-copilot-on-your-personal-account/getting-free-access-to-copilot-pro-as-a-student-teacher-or-maintainer).<br>
* [x] watch [this video](https://www.youtube.com/watch?v=Ctqi5Y4X-jA\&list=PLTjRvDozrdlxj5wgH4qkvwSOdHLOCx10f\&index=11) on working with strings (16 minutes)<br>
* [x] watch [this snippet](https://www.youtube.com/watch?v=yE9v9rt6ziw\&list=PLTjRvDozrdlxj5wgH4qkvwSOdHLOCx10f\&index=3\&t=3073s) on working with numbers (“Numbers” and “Working With Numbers”; 5 minutes)<br>
* [x] watch the first four chapters of [this video](https://www.youtube.com/watch?v=u-OmVr_fT4s\&list=PLTjRvDozrdlxj5wgH4qkvwSOdHLOCx10f\&index=8) on functions\
  (12 minutes)<br>
* [x] watch [this video](https://www.youtube.com/watch?v=9OeznAkyQz4\&list=PLTjRvDozrdlxj5wgH4qkvwSOdHLOCx10f\&index=11) on working with lists in Python\
  (18 minutes)<br>
* [x] watch [this video](https://www.youtube.com/watch?v=mpk4Q5feWaw) on setting up VS Code, specifically for Python and Data Science<br>
* [x] 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.<br>

  *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.*


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