Free course

# Helsinki Social Statistics

12 Hours66 Exercises2,727 Learners
6150 XP

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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!
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!

#### 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.

#### 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.

#### 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

#### 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.

## 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