Computational literacy
  • Computational literacy for the humanities and social sciences
  • Three approaches to computational methods
  • History of humanities computing
  • Data processing: fundamental concepts of programming for humanists and social scientists
  • Data processing: regular expressions
  • Data analysis: fundamental concepts of statistics
    • Understanding and describing groups
    • What is average?
    • Uncertainty in describing groups
    • What is a sensible group to describe?
    • Comparing groups
    • Understanding relationships
  • Digging into a method: topic modeling
  • Final project
  • Where to continue?
  • Course instances
    • Helsinki fall 2021
    • Helsinki fall 2020
    • Helsinki fall 2019
    • Helsinki fall 2018
  • Holding area for unfinished content
    • Data
    • Easy tools for acquiring, processing and exploring data
    • Computational data analysis method literacy
    • Open, reproducible research and publishing
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Data analysis: fundamental concepts of statistics

Context note: this is a self-contained part of the computational literacy for humanities and social sciences course. You can use this to teach yourself some fundamental concepts of statistics. However, if you want to understand more broadly when you might want to use them, you're better off going through the whole course.

Statistics is about:

  1. Understanding and describing groups

  2. Comparing groups

  3. Understanding relationships

After learning these, you may also be interested in where to continue learning.

PreviousData processing: regular expressionsNextUnderstanding and describing groups

Last updated 3 years ago

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