#### Introduction to *R*

Master the basics of data analysis in *R*, including vectors, lists, and data frames, and practice *R* with real data sets.

561 results
for "r"

Master the basics of data analysis in *R*, including vectors, lists, and data frames, and practice *R* with real data sets.

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

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

4 hours
Data Visualization
Rick Scavetta
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

In this course, you will learn to read CSV, XLS, and text files in *R* using tools like readxl and data.table.

3 hours
Data Preparation
Filip Schouwenaars
Course

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

4 hours
Data Manipulation
James Chapman
Course

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

4 hours
Exploratory Data Analysis
Andrew Bray
Course

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

4 hours
Machine Learning
Brett Lantz
Course

Learn how and when to use hypothesis testing in *R*, including t-tests, proportion tests, and chi-square tests.

4 hours
Probability & Statistics
Richie Cotton
Course

Learn to clean data as quickly and accurately as possible to help your business move from raw data to awesome insights.

4 hours
Data Preparation
Maggie Matsui
Course

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

4 hours
Data Visualization
Rick Scavetta
Course

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

4 hours
Data Manipulation
DataCamp Content Creator
Course

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

4 hours
Probability & Statistics
Richie Cotton
Course

Master sampling to get more accurate statistics with less data.

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

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

4 hours
Machine Learning
Hank Roark
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 draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hours
Probability & Statistics
Jo Hardin
Course

*R* Markdown is an easy-to-use formatting language for authoring dynamic reports from *R* code.

4 hours
Reporting
Amy Peterson
Course

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

4 hours
Applied Finance
Lore Dirick
Course

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

4 hours
Programming
Colin Gillespie
Course

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

4 hours
Exploratory Data Analysis
David Robinson
Course

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

4 hours
Probability & Statistics
David Robinson
Course

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

4 hours
Data Manipulation
Jeroen Boeye
Course

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

4 hours
Programming
Richie Cotton
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

Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

3 hours
Data Preparation
Filip Schouwenaars
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

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

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

4 hours
Probability & Statistics
David S. Matteson
Course

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

4 hours
Probability & Statistics
Albert Y. Kim
Course

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

4 hours
Probability & Statistics
Richard Erickson
Course

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

4 hours
Probability & Statistics
Joanne Xiong
Course

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

4 hours
Programming
Charlotte Wickham
Course

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

5 hours
Applied Finance
Kris Boudt
Course

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

4 hours
Data Visualization
Nicholas Strayer
Course

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

4 hours
Data Visualization
Timo Grossenbacher
Course

Analyze text data in *R* using the tidy framework.

4 hours
Data Manipulation
Maham Khan
Course

Learn how to use plotly in *R* to create interactive data visualizations to enhance your data storytelling.

4 hours
Data Visualization
Adam Loy
Course

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

4 hours
Probability & Statistics
Richard Erickson
Course

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

4 hours
Probability & Statistics
Kelly McConville
Course

Learn about how dates work in *R*, and explore the world of if statements, loops, and functions using financial examples.

5 hours
Applied Finance
Lore Dirick
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 make predictions about the future using time series forecasting in *R* including ARIMA models and exponential smoothing methods.

5 hours
Probability & Statistics
Rob J. Hyndman
Course

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

4 hours
Data Preparation
DataCamp
Course

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

4 hours
Other
Mary Piper
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

Visualize the rise of COVID-19 cases globally with ggplot2.

45 minutes
Data Visualization, Case Studies
Richie Cotton
Project
guided

Use text mining to analyze Jeopardy! data.

45 minutes
Case Studies
Alexis Lee
Project
guided

Wrangle and visualize musical data to find common chords and compare the styles of different artists.

45 minutes
Case Studies
Kris Shaffer
Project
guided

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

Discover how the US bond yields behave using descriptive statistics and advanced modeling.

45 minutes
Data Visualization, Applied Finance
József Soltész
Project
guided

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

45 minutes
Data Manipulation, Data Visualization...
Joshua Feldman
Project
guided

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

45 minutes
Data Visualization, Probability & Statistics...
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

Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines.

45 minutes
Case Studies
Rasmus Bååth
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, Data Visualization...
Richard Erickson
Project
guided

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

45 minutes
Data Manipulation, Data Visualization...
Jenine Harris
Project
guided

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

45 minutes
Data Manipulation, Data Visualization...
Laurens Geffert
Project
guided

Use cluster analysis to glean insights into cryptocurrency gambling behavior.

45 minutes
Data Manipulation, Data Visualization...
Eric Hare
Project
guided

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

45 minutes
Data Manipulation, Data Visualization...
Rafael La Buonora
Project
guided

Use *R* to make art and create imaginary flowers inspired by nature.

45 minutes
Data Visualization, Case Studies
Antonio Sánchez Chinchón
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, Data Visualization...
Jaclyn Burge
Project
guided

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

45 minutes
Data Manipulation, Data Visualization...
Joshua Feldman
Project
guided

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

45 minutes
Data Manipulation, Data Visualization...
Patrik Drhlík
Project
guided

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

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

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

45 minutes
Data Visualization, Machine Learning...
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, Data Visualization...
Joel Östblom
Project
guided

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

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

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

60 minutes
Data Manipulation, Data Visualization...
Amy Yang
Project
guided

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

60 minutes
Data Manipulation, Data Visualization...
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

If you have never done a DataCamp project, this is the place to start!

30 minutes
Data Visualization, Case Studies
Rasmus Bååth
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

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

1 hour
Data Manipulation
James Chapman
Project
guided

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

1 hour
Data Manipulation, Data Visualization
Jasmin Ludolf
Project
guided

Analyze athletics data to find new ways to scout and assess jumpers and throwers.

45 minutes
Case Studies
George Perry
Project
guided

Compare life expectancy across countries and genders with ggplot2.

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

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

1 hour
R Programming, Data Manipulation
Maham Khan
Project
guided

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

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

Use data management and exploratory data analysis skills to help analyze the UK Dairy Industry.

60 minutes
Case Studies
DataCamp Content Creator
Project
unguided

Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.

45 minutes
Importing & Cleaning Data
Maggie Matsui
Project
unguided

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

Learn to analyze Twitter data and do a deep dive into a hot trend.

45 minutes
Data Manipulation, Data Visualization...
Samia Khalid
Project
guided

Use pandas to calculate and compare profitability and *r*isk of different investments using the Sharpe *R*atio.

45 minutes
Applied Finance, Case Studies
Stefan Jansen
Project
guided