2024-2025

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The GitHub repository containing all the material related to the Data Science course of the Digital Humanities and Digital Knowledge degree at the University of Bologna (a.a. 2024/2025).

2024-2025 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Data Science

This space contains all the material related to the [Data Science course](https://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2024/467046) of the [Digital Humanities and Digital Knowledge degree](https://corsi.unibo.it/2cycle/DigitalHumanitiesKnowledge) at the [University of Bologna](http://www.unibo.it/en).

## Academic year 2024/2025

### Table of content

- [Data Science](#data-science)
  - [Academic year 2024/2025](#academic-year-20242025)
    - [Table of content](#table-of-content)
    - [Material](#material)
    - [Schedule](#schedule)
  - [Links](#links)

### Material

**Keys:**

- _the_ = theoretical lecture
- _hon_ = hands-on session

1. [10/2/25, *the*] Introduction to the course and final project specifications
   - slides: [Google Slides](https://docs.google.com/presentation/d/1BxXC3jrVAPsZs8IRdh33ljbMMkfFvvVD8DzHlvJp-yw/edit?usp=sharing)
   <hr />

2. [12/2/25, *the*] What is a datum and how it can be represented computationally
   - slides: [Google Slides](https://docs.google.com/presentation/d/174Mcbd9hHrWboYr3PaIUzn4qxWbB70HoVCwwZ7BMAZk/edit?usp=sharing)
   <hr />

3. [14/2/25, *hon*] Data formats and methods for storing data in Python
   - material: [GitHub](https://github.com/comp-data/2023-2024/tree/main/docs/handson/01)
   <hr />

4. [17/2/25, *the*] Introduction to data modelling
   - slides: [Google Slides](https://docs.google.com/presentation/d/1HQ70N95O-5kj1QfMCmdpicwpEH0KUWir8awmw0W2s1g/edit?usp=sharing)
   <hr />

5. [19/2/25, *hon*] Implementation of data models via Python classes
   - material: [GitHub](https://github.com/comp-data/2023-2024/tree/main/docs/handson/02)
   <hr />

6. [21/2/25, *the*] Processing and querying the data
   - slides: [Google Slides](https://docs.google.com/presentation/d/1Ykft-hlD2HbREdumEYVcqrX7m2wHQHTng64yQkgCyDo/edit?usp=sharing)
   <hr />

7. [24/2/25, *hon*] Introduction to Pandas
   - material: [GitHub](https://github.com/comp-data/2023-2024/tree/main/docs/handson/03)
   <hr />

8. [26/2/25, *the*] Database Management Systems
   - slides: [Google Slides](https://docs.google.com/presentation/d/1am-9--0m2NJCs7VjtOxRnCL-H3CnFDzJ-ECXb6mRy3k/edit?usp=sharing)
   <hr />

9. [28/2/25, *hon*] Configuring and populating a relational database
   - material: [GitHub](https://github.com/comp-data/2023-2024/tree/main/docs/handson/04)
   <hr />

10. [5/3/25, *the*] SQL, a query language for relational databases
    - slides: [Google Slides](https://docs.google.com/presentation/d/1uRS3fyLymSaOp0GI5juueFbXebFsLkISpUeVt9Gsh-E/edit?usp=sharing)
    <hr />

11. [7/3/25, *hon*] Configuring and populating a graph database
    - material: [GitHub](https://github.com/comp-data/2023-2024/tree/main/docs/handson/05)
    <hr />

12. [10/3/25, *the*] SPARQL, a query language for RDF databases
    - slides: [Google Slides](https://docs.google.com/presentation/d/1ZbFRFF-y0Vr1byG9QMl88mVIdd2BurLjg0BMiNs8h5g/edit?usp=sharing)
    <hr />

13. [12/3/25, *hon*] Interacting with databases using Pandas
    - material: [GitHub](https://github.com/comp-data/2023-2024/tree/main/docs/handson/06)
    <hr />

14. [14/3/25, *the*] Describing and visualising data
    - slides: [Google Slides](https://docs.google.com/presentation/d/11Vp1ZC15XPdyObt7REg_bUOUyLKIqSIymHvM-KrPINI/edit?usp=sharing)
    <hr />

15. [17/3/25, *hon*] Descriptive statistics and graphs about data using Pandas
    - material: [GitHub](https://github.com/comp-data/2023-2024/tree/main/docs/handson/07)
    <hr />

### Schedule

<table>
  <tr><td>10/2/25</td><td>12:00-14:00</td><td>Introduction to the course and final project specifications</td></tr>
  <tr><td>12/2/25</td><td>09:00-11:00</td><td>What is a datum and how it can be represented computationally</td></tr>
  <tr><td>14/2/25</td><td>12:00-14:00</td><td>Data formats and methods for storing data in Python</td></tr>
  <tr><td>17/2/25</td><td>12:00-14:00</td><td>Introduction to data modelling</td></tr>
  <tr><td>19/2/25</td><td>09:00-11:00</td><td>Implementation of data models via Python classes</td></tr>
  <tr><td>21/2/25</td><td>12:00-14:00</td><td>Processing and querying the data</td></tr>
  <tr><td>24/2/25</td><td>12:00-14:00</td><td>Introduction to Pandas</td></tr>
  <tr><td>26/2/25</td><td>09:00-11:00</td><td>Database Management Systems</td></tr>
  <tr><td>28/2/25</td><td>12:00-14:00</td><td>Configuring and populating a relational database</td></tr>
  <tr><td>5/3/25</td><td>09:00-11:00</td><td>SQL, a query language for relational databases</td></tr>
  <tr><td>7/3/25</td><td>12:00-14:00</td><td>Configuring and populating a graph database</td></tr>
  <tr><td>10/3/25</td><td>12:00-14:00</td><td>SPARQL, a query language for RDF databases</td></tr>
  <tr><td>12/3/25</td><td>09:00-11:00</td><td>Interacting with databases using Pandas</td></tr>
  <tr><td>14/3/25</td><td>12:00-14:00</td><td>Describing and visualising data</td></tr>
  <tr><td>17/3/25</td><td>12:00-14:00</td><td>Descriptive statistics and graphs about data using Pandas</td></tr>
</table>

# Links

- [Project information](https://github.com/comp-data/2024-2025/tree/main/docs/project)
- Some complementary books on the topic:
  * [A critical field guide for working with machine learning datasets](https://knowingmachines.org/critical-field-guide)

2024-2025

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