Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.
Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.
Learn to train and assess models performing common machine learning tasks such as classification, regression and clustering.
Master fundamental techniques for data manipulation using the select, mutate, filter, arrange, and summarise functions in dplyr.
Master core concepts in data manipulation such as subsetting, updating, indexing and joining your data using data.table.
Learn to create interactive analyses and automated reports with R Markdown.
Learn to create interactive graphs to display distributions, relationships, model fits, and more using ggvis.
Learn to translate your knowledge of SAS, SPSS, or Stata into R using the same statistics techniques you're familiar with.
Quandl offers millions of free and open financial, economic, and social datasets. In this tutorial you will learn how to effort...
Revolution R Enterprise allows R users to process, visualize, and model terabyte-class data sets at a fraction of the time of l...
A friendly introduction to fundamental concepts in statistics in R.
If you want to have a solid basic foundation in statistics, it is essential to understand the concepts and theories behind t-te...
Analysis of Variance (ANOVA) is probably one of the most popular and commonly used statistical procedures. In this course, Prof...
This course focuses on within-groups comparisons and repeated measures design. With the help of a working memory training exper...
If you have ever taken a math or statistics class, you’ve probably heard the old adage "Correlation does not imply causation". ...
Multiple regression is a powerful statistical technique, and here you will discover why and how to use it. Part of the course w...
Moderation and mediation sound alike, but in reality they are quite different. This course will get you acquainted with these c...