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 2022/2023

Table of content

• Data Science
  • Academic year 2022/2023
    • Table of content
    • Material
    • Schedule
    • Exam sessions
  • Links

Material

Keys:

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

1. [30/01/23, the] Introduction to the course and final project specifications

   • slides: Google Slides

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2. [03/02/23, the] What is a datum and how it can be represented computationally

   • slides: Google Slides

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3. [06/02/23, hon] Data formats and methods for storing data in Python

   • material: GitHub

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4. [08/02/23, the] Introduction to data modelling

   • slides: Google Slides

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5. [10/02/23, hon] Implementation of data models via Python classes

   • material: GitHub

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6. [13/02/23, the] Processing and querying the data

   • slides: Google Slides

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7. [15/02/23, hon] Introduction to Pandas

   • material: GitHub

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8. [17/02/23, the] Database Management Systems

   • slides: Google Slides

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9. [22/02/23, hon] Configuring and populating a relational database

   • material: GitHub

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10. [24/02/23, the] SQL, a query language for relational databases

    • slides: Google Slides

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11. [27/02/23, hon] Configuring and populating a graph database

    • material: GitHub

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12. [01/03/23, the] SPARQL, a query language for RDF databases

    • slides: Google Slides

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13. [06/03/23, hon] Interacting with databases using Pandas

    • material: GitHub

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14. [08/03/23, the] Describing and visualising data

    • slides: Google Slides

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15. [10/03/23, hon] Descriptive statistics and graphs about data using Pandas

    • material: GitHub

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Schedule

30/01/2023	12:30-14:30	Introduction to the course and final project specifications
03/02/2023	12:30-14:30	What is a datum and how it can be represented computationally
06/02/2023	12:30-14:30	Data formats and methods for storing data in Python
08/02/2023	12:30-14:30	Introduction to data modelling
10/02/2023	12:30-14:30	Implementation of data models via Python classes
13/02/2023	12:30-14:30	Processing and querying the data
15/02/2023	12:30-14:30	Introduction to Pandas
17/02/2023	12:30-14:30	Database Management Systems
22/02/2023	12:30-14:30	Configuring and populating a relational database
24/02/2023	12:30-14:30	SQL, a query language for relational databases
27/02/2023	12:30-14:30	Configuring and populating a graph database
01/03/2023	12:30-14:30	SPARQL, a query language for RDF databases
06/03/2023	12:30-14:30	Interacting with databases using Pandas
08/03/2023	12:30-14:30	Describing and visualising data
10/03/2023	12:30-14:30	Descriptive statistics and graphs about data using Pandas

Exam sessions

• TBD

Links

• Project information