https://github.com/thomasjewson/cci-data-science-textbook

This is a short, interactive textbook aimed at introducing data science to non-IT university undergraduates. Funded by Erasmus+.
https://github.com/thomasjewson/cci-data-science-textbook

data data-science learning python textbook

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This is a short, interactive textbook aimed at introducing data science to non-IT university undergraduates. Funded by Erasmus+.

• Host: GitHub
• URL: https://github.com/thomasjewson/cci-data-science-textbook
• Owner: ThomasJewson
• License: gpl-3.0
• Created: 2021-10-12T21:22:05.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-10-27T08:58:40.000Z (over 4 years ago)
• Last Synced: 2025-03-16T09:48:17.997Z (over 1 year ago)
• Topics: data, data-science, learning, python, textbook
• Language: Jupyter Notebook
• Homepage:
• Size: 179 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          

# cci-data-science-textbook

**TL:DR** - *This is a short, interactive textbook aimed at introducing data science to non-IT university undergraduates.*

### Textbook Structure

The textbook has 7 lessons with the following structure:

 1. Introductory Lessons:

     * How to use jupyter notebooks

     * Introduction to Pandas

 2. Applied lessons:

     * Input and Output - Questions

     * Manipulation of Data - Questions

     * Graphs - Questions

     * Descriptive Statistics - Questions

     * Linear Regression and Correlation - Questions

Each lesson has a set of 5 questions which should be answered and self-marked. 

### Running the Textbook

To run the textbook simply click the links in the sections above. This opens a Google Collab of each lesson and question set.

Alternatively, install the [Anaconda distribution](https://www.anaconda.com/) and open the `.ipynb` files with Jupyter Notebooks. 

### Funding

The content for this textbook was funded by the European Commission’s Erasmus+ via a scheme called ‘Computing Competences – Innovative learning approach for non-IT students’ (CCI) – a project which University of Bedfordshire collaborated on. 

I worked at University of Bedfordshire as a research consultant to develop these materials under the guidance of Prof. Yanqing Duan.

### Licence

Feel free to use and edit this textbook under the guidance of the GNU General Public License v3.0.