R Programming
Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.
22 hours5 courses
Data skill learning paths
Gain domain-specific expertise with skill tracks, a collection of courses curated by industry experts to help you grow your data skills and take your next big step.
Want to advance your career? Switch to career tracks.
- Learn at your own pace
- Get hands-on experience
- Master complementary skills
Start learning
Grow your data skills by following a guided series of videos and interactive exercises.
Importing & Cleaning Data
Gain the real-world skills you need to import and clean your data when working in R—making it possible for you to reveal the insights that matter.
14 hours4 courses
Data Visualization
Bring your data into focus. Gain the graphical and plot building skills you need to tell better data stories using ggplot2.
12 hours3 courses
Data Manipulation
Take the pain out of data manipulation using dplyr and data.table. Learn how to transform, sort, and filter your data, ready for quick analysis.
20 hours5 courses
Statistics Fundamentals
Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.
20 hours5 courses
Python Fundamentals
Grow your programmer skills. Discover how to manipulate dictionaries and DataFrames, visualize real-world data, and write your own Python functions.
15 hours4 courses
Importing & Cleaning Data
Gain the real-world data prepping skills you need to reveal the insights that matter! Discover how to import, clean, and work with APIs and web data.
13 hours4 courses
Data Manipulation
Take the pain out of data manipulation using pandas. You’ll learn how to transform, sort, and filter data in DataFrames, ready for quick analysis.
16 hours4 courses
Time Series
Learn the core techniques necessary to extract meaningful insights from time series data.
25 hours6 courses
Applied Finance
Grow your financial skills in R. Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility.
30 hours7 courses
Finance Fundamentals
Gain the introductory skills you need to make data-driven financial decisions in R—using the xts, zoo, tidyquant, and PortfolioAnalytics packages.
28 hours6 courses
Machine Learning Fundamentals
Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.
24 hours6 courses
Machine Learning Fundamentals
Learn the art and science of Machine Learning and come away being a boss at prediction, pattern recognition and the beginnings of Deep Learning.
16 hours4 courses
Text Mining
Learn how to extract exciting insights from tweets, product reviews, and books through sentiment analysis in R.
16 hours4 courses
Spatial Data
Working with data that can be used to create maps and building those maps to visualize variable relationships by region.
20 hours4 courses
Shiny Fundamentals
Learn how to use Shiny, a popular R package, to build highly interactive web applications and share your analyses as dashboards and visualizations.
16 hours4 courses
Time Series
Gain the skills you need to manipulate, interpret, and visualize time series data in Python, using pandas, NumPy, and Matplotlib.
20 hours5 courses
Big Data
Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.
16 hours4 courses
Tidyverse Fundamentals
Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.
20 hours5 courses
Network Analysis
Learn how to visualize and analyze network data in R, using igraph and other visualization libraries.
16 hours4 courses
Supervised Machine Learning
Generate, explore, evaluate, and tune the parameters of different supervised machine learning models.
25 hours6 courses
Interactive Data Visualization
Build beautiful interactive maps, explore your data by zooming into and hovering over plots, and design engaging, dynamic charts in R.
16 hours4 courses
SQL Fundamentals
Learn the fundamental business skills you need to write SQL queries and start analyzing your data using this powerful language.
21 hours5 courses
Statistics Fundamentals
Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.
20 hours5 courses
Unsupervised Machine Learning
Reduce the number of dimensions, aggregate data into factors, and cluster your data points to make clear, robust conclusions!
12 hours3 courses
Marketing Analytics
Grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.
24 hours6 courses
Statistical Inference
A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.
16 hours4 courses
Data Visualization
Supercharge your data science skills using Python's most popular and robust data visualization libraries.
16 hours4 courses
Intermediate Tidyverse Toolbox
Learn to build machine learning models more effectively using more efficient code and clean data in the tidyverse.
17 hours4 courses
SQL Server Fundamentals
Gain the starting SQL Server skills you need to summarize data, join tables, and analyze your data using SQL Server functions.
22 hours5 courses
Image Processing
Apply your Python skills to take on image data! From pre-processing to deep learning, you'll discover the many ways you can leverage image data.
12 hours3 courses
Spreadsheet Fundamentals
Become a spreadsheet master. Learn the core skills you need to analyze data using Google Sheets and Microsoft Excel.
15 hours4 courses
Python Toolbox
In just a few hours, you’ll learn how to handle missing data and write cleaner, faster, and more efficient Python code.
16 hours4 courses
Analyzing Genomic Data
Start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.
16 hours4 courses
Big Data with PySpark
Master how to process big data and leverage it efficiently with Apache Spark using the PySpark API.
24 hours6 courses
Python Programming
Level-up your programming skills. Learn how to optimize code, write functions and unit tests, and use best practice software engineering techniques.
24 hours6 courses
Data Skills for Business
Learn core data concepts, understand how to answer real-world questions using data, and become a more confident data-driven decision-maker.
20 hours7 courses
Marketing Analytics
Gain the Python skills you need to analyze marketing campaigns, drill into social media data, and use machine learning to predict customer churn.
28 hours7 courses
SQL for Business Analysts
Boost your business SQL skills. Learn how you can use SQL to quickly analyze data and build powerful reports to overcome business problems.
20 hours 5 courses
SQL Server for Database Administrators
Dive in and learn the key SQL Server skills you need to securely set-up, design, and maintain your business’s database.
24 hours6 courses
SQL for Database Administrators
Gain the database skills you need to become a confident, high-earning SQL DBA. Learn how to create, grow, and manage your PostgreSQL database.
16 hours4 courses
Intermediate Spreadsheets
Expand your spreadsheet skills. Learn how data validation, statistics, and regular expressions can save you time with Excel and Sheets!
12 hours3 courses
Deep Learning
Take your machine learning skills to the next level. Use the powerful Keras, TensorFlow, and PyTorch libraries to create and optimize neural networks.
20 hours5 courses
Data Literacy Fundamentals
Data literacy isn't just for data specialists; it's a fundamental life skill that everyone needs.
10 hours5 courses
Natural Language Processing
Learn how to transcribe, and extract exciting insights from books, review sites, and online articles with Natural Language Processing (NLP) in Python.
25 hours6 courses
Deep Learning for NLP
Develop your NLP and neural network skills in Python and learn how to translate and autocomplete text using scikit-learn, TensorFlow, Keras, and NLTK.
12 hours3 courses
Finance Fundamentals
Gain the introductory skills you need to make data-driven financial decisions in Python—using pandas, NumPy, statsmodels, and pyfolio libraries.
25 hours6 courses
Applied Finance
Enhance your Python financial skills. Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility.
16 hours4 courses
Finance Fundamentals
Grow your financial spreadsheet skills. Learn how to build basic business models, use financial formulas, and create loan amortization schedules.
12 hours3 courses
Tableau Fundamentals
Gain the essential skills you need to confidently use Tableau and pass the Tableau Desktop Specialist certification. No prior experience required.
24 hours5 courses
Power BI Fundamentals
Gain the essential skills you need to use Power BI. Create your own visualizations and dashboards from scratch. No prior experience required.
17 hours6 courses
Get started
No coding required—learn everything you’ve ever been afraid to ask about data science.
Data Skills for Business
Learn core data concepts, understand how to answer real-world questions using data, and become a more confident data-driven decision-maker.
20 hours7 courses
Data Literacy Fundamentals
Data literacy isn't just for data specialists; it's a fundamental life skill that everyone needs.
10 hours5 courses
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Who teaches on DataCamp?
Meet the experts behind the training. By joining DataCamp, you’ll unlock access to insights from leaders in technology, data science, business, and academia.
Learn with
Sowmya Vivek
Data Science Coach. See full bio.
Learn with
Darryl Reeves Ph.D
Industry Assistant Professor, NYU Tandon School of Engineering. See full bio.
Learn with
Rick Scavetta
Rick Scavetta is a co-founder of Scavetta Academy.. See full bio.
What is DataCamp?
Learn the data skills you need online at your own pace—from non-coding essentials to data science and machine learning.
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What makes DataCamp different?
We believe in learning by doing. With DataCamp, you complete real-world coding exercises directly in your browser—no downloads or complex installations. Roll up your sleeves and start learning today.
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