Learn Data Science - 100% Online
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Learn data science by watching videos coding!
Most people learn best by doing, yet many online data science courses only ask you to memorize information, never to apply it. We took a different approach:
In guided projects, you'll use the data science concepts you just learned to answer real-world questions on real datasets.
In our interactive lessons, you'll learn a new concept, write code to apply it, and get feedback all on the same screen.
In a typical Dataquest session, you won't go more than five minutes without writing code!
Sound fun? Sign up and start learning R, Python, or SQL online today!
Try our data science courses today — it's free to get started!
How Dataquest Works
Our entire learning experience runs in your browser — no installation necessary. Our introductory courses will teach you the fundamentals so you can learn Python or learn R online from scratch, no previous experience required.
There are no deadlines, so you can learn data science online at your own pace. And the best part? No videos. Just a clear path to learning.
Our Data Science Learning Platform
On Dataquest, you'll spend most of your time learning R and Python through our in-browser, interactive screens.
Typically, a screen presents a new data science concept on the left side, and challenges you to apply that concept by writing code on the right.
Before moving to the next screen, you submit your answer and get immediate feedback on the code you just wrote.
The Dataquest Community
All Dataquest students have access to our online data science community. Here, our trained moderators and other learners are ready to help you as you learn R and Python! This community is your go-to resource if you get stuck on a mission, encounter a platform issue, need advice, or want feedback on a project.
Learn data science online in our learning paths
When you choose a Dataquest Career or Skill Path, you don't have to wonder what you'll learn next. In our paths, you'll learn all the skills you need to land your first job in data science, including R, Python, SQL, data visualization, data analysis, machine learning, and more.
Data Analyst in R
You’ll learn the basics of using R for data analytics, how to work with data sources, data cleaning techniques, how to perform statistical analyses, data visualization techniques, and predictive analysis.
Data Analyst in Python
You’ll learn the basics of using Python for data analytics, how to work with data sources, data cleaning techniques, how to perform statistical analyses, data visualization techniques, and predictive analysis.
Learn the basics of working with SQL databases, such as clauses, statements, queries, subqueries, and datatypes. Learn how to work with data across multiple tables, including joins and set operations.
Machine Learning Introduction with Python
This skill path shows you how to use machine learning to make predictions from data. It focuses on developing intuition and includes projects built on real-world datasets.
Data Scientist in Python
You’ll learn advanced techniques for using Python for data analytics: working with large datasets, machine learning topics, and the basic computer architecture and parallel processing topics.
You’ll learn how to work with production databases, how to build data pipelines that can handle larger data sets, and learn key computer science concepts like data structures, algorithms, and recursion.
Probability and Statistics with Python
An introduction to probability and statistics for data science, including sampling, distributions, probability, significance testing, and chi-squared tests.
Use R for exploratory data visualization and the creation of high-quality visuals to communicate your results.