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 explore your data so you can properly clean and prepare it for analysis.
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.
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.
Master core concepts in data manipulation such as subsetting, updating, indexing and joining your data using data.table.
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.
Learn to create interactive analyses and automated reports with R Markdown.
Take your data visualization skills to the next level with coordinates, facets, themes, and general best practices in ggplot2.
This course covers some advanced topics including strategies for handling large data sets and specialty plots.
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.
Learn how to parse data in any format. Whether it's flat files, statistics software, databases, or web data, you'll handle it all.
This interactive DataCamp course complements the Coursera course Data Analysis and Statistical Inference by Mine Çetinkaya-Rund...
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...