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Helsinki Social Statistics

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Course Description

This DataCamp course has been developed by Tuomo Nieminen and Emma Kämäräinen, under the supervision of adj. prof. Kimmo Vehkalahti. This course works as the Data Science module for the Social Statistics MOOC at the University of Helsinki, Finland.
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  1. 1

    R and statistics

    Free

    Basics of R, the amazing statistical programming language. Do not be afraid of the art of programming!

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    What is R?
    100 xp
    Basic tools
    100 xp
    Arithmetics
    100 xp
    Objects
    100 xp
    Functions
    100 xp
    Good arguments
    100 xp
    students2014
    50 xp
  2. 2

    Data types and variable types

    Free

    Quick overview to R data and variable types. What are the objects? You are the subject.

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  3. 3

    Looking at the data

    Free

    Data are everywhere and everything. That's why Statistics is also called Data Science. R offers great tools for looking at the data, behind the numbers.

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  4. 4

    Exploring variation and dependence

    Free

    Variation and dependence are at the heart of Statistics. In fact, without variation the discipline would cease to exist. Correlation is not causation, but why?

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  5. 5

    Working across the data

    Free

    Cross-tabulations let you explore dependencies hidden deep within discrete variables.

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Kimmo Vehkalahti HeadshotKimmo Vehkalahti

(Super) Social Data Scientist, D.Soc.Sci, Fellow of the Teachers' Academy of Uni HELsinki, running #tilastoMOOC - the 1st Social Statistics MOOC & #IODS, the 1st Open Data Science MOOC in Finland, powered by DataCamp, VuoLearning, and Moodlerooms
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Tuomo Nieminen HeadshotTuomo Nieminen

Studies statistics and computer science at the University of Helsinki and works at the National Health and Welfare Institute (THL). Believes that data analysis can make the world a better place.
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Petteri Mäntymaa HeadshotPetteri Mäntymaa

Statistics student at the University of Helsinki. Teaching assistant on the statistics courses Helsinki Social Statistics and Introduction to Open Data Science. Part-time R-dude at the Finnish National Institute for Health and Welfare. Passtime hobbies include powerlifting, astronomy.
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