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Helsinki Social Statistics

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12 Hours66 Exercises2,727 Learners
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Course Description

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

  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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  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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  6. 6

    Subsets and conditions

    Free
    Let's begin to seek the best conditions for coping with uncertainty.
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  7. 7

    Probability distributions

    Free
    Most things in this world are more or less random, and not evenly distributed.
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  8. 8

    Estimation

    Free
    Get your brackets ready for diving in the world of statistical inference!
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  9. 9

    Hypothesis testing

    Free
    We all might be statistically different, but maybe we are part of the 68%.
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  10. 10

    Regression

    Free
    Now, pick roles for the variables and start modeling. I predict you are good!
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Emma Kämäräinen Headshot

Emma Kämäräinen

Helsinki University student who studies statistics and computer science. Believes in the power of data and finds herself interested in statistics more and more every day. Currently works as a Data Scientist at DNA Oy.
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Tuomo Nieminen Headshot

Tuomo 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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Kimmo Vehkalahti Headshot

Kimmo 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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Petteri Mäntymaa Headshot

Petteri 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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