Free course

Helsinki Social Statistics

Start Free Course
12 Hours66 Exercises2,727 Learners
6150 XP

Create Your Free Account

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA. You confirm you are at least 16 years old (13 if you are an authorized Classrooms user).

Loved by learners at thousands of companies

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

    Basics of R, the amazing statistical programming language. Do not be afraid of the art of programming!
    Play Chapter Now
  2. 2

    Data types and variable types

    Quick overview to R data and variable types. What are the objects? You are the subject.
    Play Chapter Now
  3. 3

    Looking at the data

    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.
    Play Chapter Now
  4. 4

    Exploring variation and dependence

    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?
    Play Chapter Now
  5. 5

    Working across the data

    Cross-tabulations let you explore dependencies hidden deep within discrete variables.
    Play Chapter Now
  6. 6

    Subsets and conditions

    Let's begin to seek the best conditions for coping with uncertainty.
    Play Chapter Now
  7. 7

    Probability distributions

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


    Get your brackets ready for diving in the world of statistical inference!
    Play Chapter Now
  9. 9

    Hypothesis testing

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


    Now, pick roles for the variables and start modeling. I predict you are good!
    Play Chapter Now
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.
See More
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.
See More
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
See More
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.
See More

What do other learners have to say?

I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

Devon Edwards Joseph
Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

Louis Maiden
Harvard Business School

DataCamp is by far my favorite website to learn from.

Ronald Bowers
Decision Science Analytics, USAA