WE ❤️ DATA! - Valentines sale ends February 21st


*All prices shown in US Dollars.


Billed monthly


  • Access all courses in the Data Analyst in Python Path
  • Access all courses in the Data Analyst in R Path
  • Access 16 guided projects to build your portfolio
  • Premium support from the Dataquest Community


Billed monthly


  • All Basic Features, plus...
  • Full Data Scientist and Data Engineer Paths
  • Résumé reviews and career coaching
  • 30+ guided projects to build your portfolio

All subscriptions renew automatically. No obligation, you can cancel at anytime.

PLANS FOR TEAMS >> Learn more here


Dataquest helped me develop my data analyst skills, I credit the guided projects with getting me the job I have today.

Christian L’Heureux Analyst of Global Insights at Blizzard

Frequently Asked Questions

For more information on subscriptions and billing check the knowledge base.

What's the difference between Basic and Premium?

Both basic and premium plans get access to our feedback-driven missions, highly-applicable projects and challenges and our members-only support community. Our Basic plan has access to all content in our Data Analyst in Python and R paths only, while our Premium plan has access to all four of our learning paths including data scientist and data engineer.

What is the Dataquest community?

The community is a place where you can collaborate on projects with other Dataquest students, get help, discuss career questions or join conversations about Data Science related topics.

Are there any prerequisites?

Our Data Analyst in R, Data Analyst in Python, and Data Scientist in Python paths can all be taken without any prior knowledge of programming or mathematical concepts. Each path is meant to guide you, from scratch, to being job-ready.

I have some more questions, can I talk to someone?

Yes! You can email [email protected], or use the question mark (?) in the navigation when you are logged into your account.

What is premium support?

We are here to help. You can get technical and non-technical questions answered by searching our help desk and by reaching out in the members community. Our team of data scientists, technical support agents, and community moderators are there to assist you.