Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.

Co-founder and CEO of DataCamp

Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.

Data Science Instructor at DataCamp

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

Data Scientist and cofounder of Science Craft

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.

Data Scientist at RStudio

Learn about datasets in R, study types, sampling strategies, and experimental design.

Associate Professor at Duke University

Learn to explore your data so you can properly clean and prepare it data for analysis.

Director of Course Development at DataCamp

Learn how to parse data in any format. Whether it's flat files, statistics software, databases, or web data, you'll handle it all.

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

Assistant Professor at Smith College

Learn the basics of the important features of the RStudio IDE.

Learn the core techniques necessary to extract meaningful insights from time series data.

Assistant Professor at Cornell University

Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.

Chief Scientist at RStudio, author of ggplot2, dplyr, and tidyr

Master core concepts in data manipulation such as subsetting, updating, indexing and joining your data using data.table.

Author of data.table

Learn to create interactive analyses and automated reports with R Markdown and communicate your insights quickly and effectively.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Data Scientist at Data Robot and co-author of caret

This course was designed to get you up to speed with the most important and powerful methodologies in statistics.

DeWitt Wallace Professor of Mathematics, Statistics, and Computer Science at Macalester College

Take your data visualization skills to the next level with coordinates, facets, themes, and general best practices in ggplot2.

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.

In this course, you will become an expert in fitting ARIMA models to time series data using R. First, you will explore the nat...

David Stoffer is a Professor of Statistics at the University of Pittsburgh. He is member of the e...

R supports four different graphics systems: base graphics, grid graphics, lattice graphics, and ggplot2. Base graphics is the d...

Ron has been actively involved in data analysis and predictive modeling in a variety of technical...

Learn how to use graphical and numerical techniques to uncover the structure of your data and find variables that suggest inter...

Assistant Professor of Statistics at Reed College

Learn the bag of words technique for text mining with R.

Ted started his text mining journey at Amazon when he launched the social media customer service ...

This course will show you how to combine data sets with dplyr's two table verbs.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Professional Quantitative Analyst and R programmer

Learn to apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Data Scientist at DataCamp

The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.

Creator of xts and quantmod

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Professor of Finance and Econometrics at Vrije Universiteit Brussel and Amsterdam

Learn about the practice of drawing conclusions about a larger population from a sample of data: a process known as statistical...

Professor at Pomona College

Further your knowledge of RStudio and learn how to integrate Git, LaTeX, and Shiny

Learn to create interactive graphs to display distributions, relationships, model fits, and more using ggvis.

Where should you buy a house to get the most value for your money? Your first step might be to make a map, but spatial data can...

Charlotte is an Assistant Professor in the Department of Statistics at Oregon State University an...

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Instructor at DataCamp

Once you've started learning tools for data manipulation and visualization like dplyr and ggplot2, this course gives you a chan...

Data Scientist, Stack Overflow

Learn to translate your knowledge of SAS, SPSS, or Stata into R using the same statistics techniques you're familiar with.

Author of R for SAS and SPSS Users and co-author of R for Stata Users

This course covers some advanced topics including strategies for handling large data sets and specialty plots.

In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

In this follow-up course, you will expand your stat modeling skills from part 1 and dive into more advanced concepts.

Why value bonds? Bonds are securities issued by governments or corporations that pay interest over a fixed schedule and are the...

Clifford S. Ang, CFA is a Vice President at Compass Lexecon. He specializes in valuation, corpor...

This follow-up course on manipulating time series data in R does not cover new data manipulation concepts. Instead, you will st...

Use a rich baseball dataset from the MLB's Statcast system to practice your data exploration skills.

Assistant Professor at the University of Florida