#### Introduction to R

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

139 results

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

4 hours
Programming
Jonathan Cornelissen
Course

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

6 hours
Programming
Filip Schouwenaars
Course

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours
Programming
David Robinson
Course

Learn to transform and manipulate your data using dplyr.

4 hours
Data Manipulation
DataCamp Content Creator
Course

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hours
Probability & Statistics
Maggie Matsui
Course

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours
Data Manipulation
DataCamp Content Creator
Course

Learn the language of data, study types, sampling strategies, and experimental design.

4 hours
Probability & Statistics
Mine Cetinkaya-Rundel
Course

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours
Probability & Statistics
Andrew Bray
Course

In this course you will learn the basics of machine learning for classification.

4 hours
Machine Learning
Brett Lantz
Course

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

4 hours
Probability & Statistics
Richie Cotton
Course

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hours
Programming
Richie Cotton
Course

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests.

4 hours
Probability & Statistics
Richie Cotton
Course

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

4 hours
Programming
Colin Gillespie
Course

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

4 hours
Programming
kaelen medeiros
Course

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hours
Probability & Statistics
Richie Cotton
Course

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours
Machine Learning
Hank Roark
Course

Learn the essentials of parsing, manipulating and computing with dates and times in R.

4 hours
Programming
Charlotte Wickham
Course

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hours
Machine Learning
Dmitriy Gorenshteyn
Course

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

4 hours
Probability & Statistics
Ben Baumer
Course

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hours
Machine Learning
John Mount
Course

Learn how to make predictions about the future using time series forecasting in R.

5 hours
Probability & Statistics
Rob J. Hyndman
Course

Transform almost any dataset into a tidy format to make analysis easier.

4 hours
Data Manipulation
Jeroen Boeye
Course

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

4 hours
Machine Learning
Zachary Deane-Mayer
Course

In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.

4 hours
Probability & Statistics
Ben Baumer
Course

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

4 hours
Probability & Statistics
David S. Matteson
Course

Master sampling to get more accurate statistics with less data.

4 hours
Probability & Statistics
Richie Cotton
Course

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

4 hours
Data Manipulation
DataCamp Content Creator
Course

Learn to work with data using tools from the tidyverse, and master the important skills of taming and tidying your data.

4 hours
Data Manipulation
Alison Hill
Course

Learn how to pull character strings apart, put them back together and use the stringr package.

4 hours
Programming
Charlotte Wickham
Course

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hours
Probability & Statistics
Rasmus Bååth
Course

In this course you will learn to fit hierarchical models with random effects.

4 hours
Probability & Statistics
Richard Erickson
Course

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

4 hours
Programming
Richie Cotton
Course

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hours
Probability & Statistics
Jo Hardin
Course

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

4 hours
Probability & Statistics
David Robinson
Course

Learn to easily summarize and manipulate lists using the purrr package.

4 hours
Programming
DataCamp Content Creator
Course

Analyze text data in R using the tidy framework.

4 hours
Data Manipulation
Marc Dotson
Course

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

4 hours
Probability & Statistics
David Stoffer
Course

In this course you'll learn how to leverage statistical techniques for working with categorical data.

4 hours
Probability & Statistics
Andrew Bray
Course

In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.

4 hours
Probability & Statistics
Tamuno Alfred
Course

Learn survey design using common design structures followed by visualizing and analyzing survey results.

4 hours
Probability & Statistics
Kelly McConville
Course

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

4 hours
Data Manipulation
Matt Dowle
Course

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

4 hours
Probability & Statistics
Eric Eager
Course

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

4 hours
Machine Learning
Sandro Raabe
Course

Explore latent variables, such as personality using exploratory and confirmatory factor analyses.

4 hours
Probability & Statistics
Jennifer Brussow
Course

This course will show you how to combine and merge datasets with data.table.

4 hours
Data Manipulation
Scott Ritchie
Course

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

4 hours
Probability & Statistics
Heidi Seibold
Course

Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.

5 hours
Machine Learning
Dmitriy Gorenshteyn
Course

Learn to streamline your machine learning workflows with tidymodels.

4 hours
Machine Learning
David Svancer
Course

In this course you'll learn to analyze and visualize network data with the igraph package.

4 hours
Probability & Statistics
JAMES CURLEY
Course

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

4 hours
Probability & Statistics
Richard Erickson
Course

Apply your importing and data cleaning skills to real-world soccer data.

45 minutes
Data Manipulation, Importing & Cleaning Data...
Erin LaBrecque
Project
guided

Discover the top tools Kaggle participants use for data science and machine learning.

45 minutes
Data Manipulation, Data Visualization...
Amber Thomas
Project
guided

Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.

45 minutes
Data Manipulation, Machine Learning...
Joshua Feldman
Project
guided

Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

45 minutes
Probability & Statistics, Data Visualization...
Amy Yang
Project
guided

Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.

45 minutes
Data Manipulation, Data Visualization...
Erin LaBrecque
Project
guided

Analyze health survey data to determine how BMI is associated with physical activity and smoking.

45 minutes
Data Manipulation, Probability & Statistics...
Jessica Minnier
Project
guided

Apply hierarchical and mixed-effect models to analyze Maryland crime rates.

45 minutes
Data Manipulation, Probability & Statistics...
Richard Erickson
Project
guided

Use your logistic regression skills to protect people from becoming zombies!

45 minutes
Data Manipulation, Probability & Statistics...
Jenine Harris
Project
guided

Predict the impact of climate change on bird distributions using spatial data and machine learning.

45 minutes
Data Manipulation, Machine Learning...
Laurens Geffert
Project
guided

Use cluster analysis to glean insights into cryptocurrency gambling behavior.

45 minutes
Data Manipulation, Machine Learning...
Eric Hare
Project
guided

Apply unsupervised learning techniques to help plan an education program in Argentina.

45 minutes
Data Manipulation, Machine Learning...
Rafael La Buonora
Project
guided

Use data science to catch criminals, plus find new ways to volunteer personal time for social good.

45 minutes
Data Manipulation, Data Visualization...
William Connell
Project
guided

Explore the salary potential of college majors with a k-means cluster analysis.

45 minutes
Data Manipulation, Machine Learning...
Jaclyn Burge
Project
guided

Analyze admissions data from UC Berkeley and find out if the university was biased against women.

45 minutes
Data Manipulation, Probability & Statistics...
Joshua Feldman
Project
guided

Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language.

45 minutes
Data Manipulation, Probability & Statistics...
Patrik Drhlík
Project
guided

Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.

45 minutes
Data Manipulation, Machine Learning...
Megan Robertson
Project
guided

Explore acoustic backscatter data to find fish in the U.S. Atlantic Ocean.

45 minutes
Data Manipulation, Data Visualization...
Erin LaBrecque
Project
guided

Write functions to forecast time series of food prices in Rwanda.

45 minutes
Data Manipulation, Data Visualization...
Richie Cotton
Project
guided

Apply text mining to Donald Trump's tweets to confirm if he writes the (angrier) Android half.

45 minutes
Data Manipulation, Probability & Statistics...
David Robinson
Project
guided

Use regression trees and random forests to find places where New York taxi drivers earn the most.

45 minutes
Machine Learning, Data Visualization...
Robert Grant
Project
guided

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

60 minutes
Data Manipulation, Data Visualization...
Rasmus Bååth
Project
guided

Apply your skills from "Working with Dates and Times in R" to breathalyzer data from Ames, Iowa.

45 minutes
Data Manipulation, Data Visualization...
Samantha Tyner
Project
guided

Create and explore interactive maps using Leaflet to determine where to open the next Chipotle.

45 minutes
Data Manipulation, Data Visualization...
Rich Majerus
Project
guided

How can we find a good strategy for reducing traffic-related deaths?

60 minutes
Data Manipulation, Machine Learning...
Joel Östblom
Project
guided

Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!

60 minutes
Probability & Statistics, Data Visualization...
Nick Solomon
Project
guided

Examine the relationship between heart rate and heart disease using multiple logistic regression.

60 minutes
Data Manipulation, Probability & Statistics...
Amy Yang
Project
guided

Examine the network of connections among local health departments in the United States.

60 minutes
Data Manipulation, Probability & Statistics...
Jenine Harris
Project
guided

Analyze the relative popularity of programming languages over time based on Stack Overflow data.

60 minutes
Data Manipulation, Data Visualization...
David Robinson
Project
guided

Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

45 minutes
Data Manipulation, Data Visualization...
Rasmus Bååth
Project
guided

Flex your data manipulation muscles on breath alcohol test data from Ames, Iowa, USA.

45 minutes
Data Manipulation, Data Visualization...
Samantha Tyner
Project
guided

Compare life expectancy across countries and genders with ggplot2.

45 minutes
Data Manipulation, Data Visualization...
Antonio Sánchez Chinchón
Project
guided

Analyze data from the hit mobile game, Candy Crush Saga.

45 minutes
Data Manipulation, Data Visualization...
Rasmus Bååth
Project
guided

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

45 minutes
Data Manipulation
Maggie Matsui
Project
guided

Analyze the relative popularity of programming languages over time based on Stack Overflow data.

60 minutes
Data Manipulation, Data Visualization...
Sara Billen
Project
guided

Write functions to forecast time series of food prices in Rwanda.

45 minutes
Data Manipulation, Data Visualization...
Richie Cotton
Project
guided