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.
Basics of R, the amazing statistical programming language. Do not be afraid of the art of programming!
Quick overview to R data and variable types. What are the objects? You are the subject.
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.
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?
Cross-tabulations let you explore dependencies hidden deep within discrete variables.
Let's begin to seek the best conditions for coping with uncertainty.
Most things in this world are more or less random, and not evenly distributed.
Get your brackets ready for diving in the world of statistical inference!
We all might be statistically different, but maybe we are part of the 68%.
Now, pick roles for the variables and start modeling. I predict you are good!