Free course

# Helsinki Social Statistics

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12 hours66 exercises

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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.

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.

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?

5. 5

### Working across the data

Free

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

6. 6

### Subsets and conditions

Free

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

7. 7

### Probability distributions

Free

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

8. 8

### Estimation

Free

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

9. 9

### Hypothesis testing

Free

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

10. 10

### Regression

Free

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

### GroupTraining 2 or more people?

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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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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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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