From exploratory data analysis with dplyr to data visualization with ggplot2—gain the career-building R skills you need to succeed as a data analyst!
Career-building learning paths
Get on the right path with career tracks, a collection of courses curated by industry experts to help you grow your data skills and take your next big step.
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Grow your data skills by following a guided series of videos and interactive exercises.
Learn how to use R for data science, from data manipulation to machine learning. Gain the career-building skills you need to succeed in data science!
Develop your data analytics skills in Python. Gain the data analyst skills to manipulate, analyze, and visualize data. No coding experience required!
Learn data science with Python, from data manipulation to machine learning. This track provides the skills needed to succeed as a data scientist!
From data manipulation to unit testing, gain the career-building skills you need to succeed as a Python programmer. No prior coding experience needed.
From data wrangling to developing packages, gain the career-building skills you need to succeed as an R programmer. No prior coding experience needed.
Ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.
A statistician collects and analyzes data and helps companies make sense of quantitative data, including spotting trends and making predictions.
A machine learning scientist researches new approaches and builds machine learning models.
Discover machine learning with Python and work towards becoming a machine learning scientist. Explore supervised, unsupervised, and deep learning.
Gain the in-demand data engineering skills businesses are looking for and learn how to efficiently ingest, clean, and manage data.
Gain the SQL Server skills you need to write, troubleshoot, and optimize your queries using SQL Server.
Co-created with Microsoft—gain the Power BI skills you need to prepare, model, and visualize data for the PL-300 Data Analyst certification.
Gain the SQL skills you need to query a database, analyze the results, and become a SQL proficient Data Analyst. No prior coding experience required!
Master Tableau for data analysis and develop your skills in one of the world’s most popular BI tools. No prior experience is required.
Learn data science with Python, from data manipulation to machine learning, and gain the skills needed for the Professional certification!
Learn data science with R, from data manipulation to machine learning, and gain the skills needed for the Professional certification!
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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.
CTO, Envizage. See full bio.
Instructor of Data Visualization in Power BI and 4 other courses
Dr. Chester Ismay
Educator, Data Scientist, and R/Python Consultant. See full bio.
Instructor of SQL for Joining Data and 1 other courses
Rick Scavetta is a co-founder of Scavetta Academy.. See full bio.
Instructor of Introduction to Data Visualization with ggplot2 and 1 other courses
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