Institute of Computer Science
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  2. 2021/22 spring
  3. Introduction to Data Science (LTAT.02.002)
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Introduction to Data Science 2021/22 spring

  • Home
  • Lectures
  • Practice sessions
  • Homeworks
  • Projects
  • Projects from 2020
  • Projects from 2018
  • Call for Data and Project Topics
  • Tutorials
  • Dictionary ENG-EST

Lecture 01 - Sept 2 - Introduction

Slides, video

Lecture 02 - Sept 9 - First look at the data

Slides, video

Lecture 03 - Sept 16 - Tableau and visualisation

Video 1, video 2

Lecture 04 - Sept 23 - Frequent pattern mining

Slides, video

Lecture 05 - Sept 30 - Relations of attributes, clustering and dimensionality reduction

Slides, video

Lecture 06 - Oct 7 - Introduction to machine learning

Slides, video

Lecture 07 - Oct 14 - Machine learning 2

Slides, video

Lecture 08 - Oct 21 - Machine learning 3 + Project information

Slides, video, project information slides, project information video

Lecture 09 - Oct 28 - Machine learning 4

Slides, video

Nov 4 - Consultation for projects (same room and time as the lecture)

Lecture 10 - Nov 11 - Computational statistics

Slides, video

Lecture 11 - Nov 18 - CRISP-DM, Graph mining, and NLP

Slides, video

Lecture 12 - Nov 25 - Databases and privacy

Slides, video

Dec 2 - Consultation for projects (same room and time as the lecture)

Dec 9 - No lecture

Dec 16 - Project presentations

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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