Institute of Computer Science
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  2. 2024/25 fall
  3. Methods in Data Science (LTAT.02.006)
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Methods in Data Science 2024/25 fall

  • Pealeht
  • Loengud
  • Praktikumid
  • Kodutööd
  • Viited

Viited

Õppematerjal tugineb osaliselt järgmistel raamatutel:

  • Imbi Traat "Matemaatilise statistika põhikursus" 2006
  • Allen B. Downey "Think Stats: Exploratory Data Analysis in Python" 2014 (veebist tasuta allalaetav)
  • Scott E. Page "The Model Thinker" 2018
  • Nate Silver "The Signal and the Noise" 2012
  • Charles Wheelan "Naked Statistics" 2013
  • David Spiegelhalter "The Art of Statistics: How to learn from data" 2019
  • Alex Reinhart "Statistics Done Wrong: the woefully complete guide" 2015

Käesoleva õppeainega osaliselt pisut sarnase sisuga kuid lihtsam on kursus:

  • LTAT.02.002 Sissejuhatus andmeteadusesse (Introduction to Data Science)

Lisamaterjalid programmeerimise kohta

  • Jupyter Notebook Tutorial video
  • 28 Jupyter Notebook tips, tricks, and shortcuts
  • Jupyter Notebook Equation Examples
  • pandas tutorial and matplotlib pyplot
  • Pandas cheat-sheet 1
  • Pandas cheat-sheet 2
  • Scikit-Learn tutorials
  • Scikit-Learn cheat-sheet
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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