Importing your data into R to start your analyses: it should be the easiest step. Unfortunately, this is almost never the case. Data is stored in all sorts of formats, ranging from from flat files to other statistical software files to databases and web data. A skilled data scientist knows which techniques to use to in order to proceed with the analysis of data.
This free introduction to R tutorial helps you master the basics of R. Become ready to undertake your own data analysis.
Learn all about applying machine learning techniques such as classification, regression and clustering, using R.
There are different types of R plots, ranging from the basic graph types to complex types of graphs. Here we discover how to create these.
Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.
How to use an online interactive coding environment for R in the class? A case study using the DataCamp platform.
Learn how to write better and more advanced R code for your daily data analysis tasks with DataCamp's intermediate R course.