Data Science

This space contains all the material related to the Data Science course of the Digital Humanities and Digital Knowledge degree at the University of Bologna.

Academic year 2023/2024

Table of content

• Data Science
  • Academic year 2023/2024
  • Table of content
  • Material
  • Schedule
  • Links

Material

Keys:

• the = theoretical lecture
• hon = hands-on session

1. [29/01/24, the] Introduction to the course and final project specifications

   • slides: Google Slides

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2. [02/02/24, the] What is a datum and how it can be represented computationally

   • slides: Google Slides

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3. [07/02/24, hon] Data formats and methods for storing data in Python

   • material: GitHub

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4. [09/02/24, the] Introduction to data modelling

   • slides: Google Slides

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5. [12/02/24, hon] Implementation of data models via Python classes

   • material: GitHub

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6. [14/02/24, the] Processing and querying the data

   • slides: Google Slides

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7. [16/02/24, hon] Introduction to Pandas

   • material: GitHub

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8. [19/02/24, the] Database Management Systems

   • slides: Google Slides

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9. [21/02/24, hon] Configuring and populating a relational database

   • material: GitHub

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10. [22/02/24, the] SQL, a query language for relational databases

    • slides: Google Slides

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11. [28/02/24, hon] Configuring and populating a graph database

    • material: GitHub

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12. [01/03/24, the] SPARQL, a query language for RDF databases

    • slides: Google Slides

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13. [04/03/24, hon] Interacting with databases using Pandas

    • material: GitHub

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14. [06/03/24, the] Describing and visualising data

    • slides: Google Slides

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15. [08/03/24, hon] Descriptive statistics and graphs about data using Pandas

    • material: GitHub

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Schedule

Links

• Project information
• Some complementary books on the topic:
  • A critical field guide for working with machine learning datasets