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Learn Data & AI Skills

Learn Python, SQL, Data Analytics, AI Engineering and more through hands-on practice, real-world projects, and career paths built for the job market.

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FOR TEAMS

Upskill your team on data and AI

Give your team and students data skills they need. Dataquest’s project-based learning paths give learners real world experience in Python, SQL, Excel, PowerBI, Tableau, data analysis, and machine learning.

Optum
Amazon
NIH
Chicago
Deloitte
Northwestern

Find your path

Stop guessing what to learn next. Each path gives you the right skills, in the right order.

Career paths

Designed for beginners to get you job-ready in 3 to 9 months.

Beginner
Data Engineer (Python)
  • Python
  • SQL
  • Cloud Computing
  • Big Data
  • Containerization
29 courses 14 projects 8 mo
124.3k+ learners enrolled
View career path
Beginner
AI Engineer (Python)
  • Python
  • AI Engineering
30 courses 20 projects 10 mo
157.4k+ learners enrolled
View career path
Beginner
Data Analyst (Python)
  • Python
  • SQL
27 courses 19 projects 8 mo
435.3k+ learners enrolled
View career path
Beginner
Data Scientist (Python)
  • Python
  • SQL
38 courses 27 projects 11 mo
445k+ learners enrolled
View career path

Skill paths

Curated course groupings to guide you to full mastery of a topic.

Beginner
Python
  • Python
4 courses 3 projects 2 mo
337.5k+ learners enrolled
View skill path
Beginner
SQL
  • SQL
5 courses 3 projects 2 mo
52.2k+ learners enrolled
View skill path
Intermediate
Machine Learning (Python)
  • Python
7 courses 7 projects 2 mo
17.4k+ learners enrolled
View skill path
Beginner
Data Analysis (Power BI)
  • Power BI
5 courses 3 projects 1 mo
12.4k+ learners enrolled
View skill path

Master the tools that hiring managers look for

Python
Python
R
R
SQL
SQL
ChatGPT
ChatGPT
Power BI
Power BI
Excel
Excel
Snowflake
Snowflake
Git
Git

How Dataquest works

A learning experience designed around doing, not watching. Here's what makes it different.

step 01

Real data. Real problems. From lesson one.

No videos. No setup. Just code.

Open your browser and start writing Python or SQL against real datasets within minutes. Every lesson is interactive. You read a concept, then immediately apply it. No watching someone else code. No local environment to configure.

Nice work! Sign up to keep learning.
step 02

No gaps. No guessing. Just the next step.

Structured paths built by curriculum designers, not algorithms.

Each career path is a carefully sequenced curriculum. You always know what comes next and why it matters. No decision fatigue. No wondering if you missed something important.

Dashboard Learning path Catalog Projects Practice
D
Career path
Data Engineer
29 courses
Data Engineer path
Data Scientist in Python path
SQL Skills for Data Analysis path
step 03

AI-assisted learning.

Your in-app AI tutor, built for deeper understanding.

Chandra explains code, answers questions, and helps you work through exercises — right inside the lesson. The more you engage with it, the faster concepts click. Use it to go deeper, not just get unstuck.

Chandra AI Assistant
Get help while you learn
Why am I getting a KeyError when I try to access my dictionary?
Chandra
A KeyError happens when you try to access a dictionary key that doesn't exist. In your code, you're trying to access row_dict['price'], but there's no 'price' key in your dictionary.|
row_dict = {'name': 'iPhone', 'rating': 4.5}
print(row_dict['price'])  # KeyError!
Oh I see! So I need to check if the key exists first?
Chandra
Exactly! You can use .get() which returns None if the key is missing, or check with 'in' first. Here's the safer approach:|
# Option 1: Using .get()
price = row_dict.get('price', 0)

# Option 2: Check first
if 'price' in row_dict:
    price = row_dict['price']
Ask Chandra anything…
Send
step 04

Guided projects. Portfolio projects. Practice problems.

Build proof of what you can do.

You don't just complete exercises. You build real projects with messy data that you can push to GitHub and show in interviews. Guided projects walk you through. Portfolio projects challenge you to work independently.

Guided projects View all →
Exploring Hacker News Posts
FREE
Python · Beginner
Practice Python basics, string cleaning, and data handling to uncover patterns.
8 stepsStart project →
Profitable App Profiles for the App Store and Google Play
FREE
Python · Beginner
Practice Python and data analysis on real mobile app market data.
14 stepsStart project →
Exploring eBay Car Sales Data
FREE
Python · Beginner
Practice data cleaning with pandas on a used-car dataset.
9 stepsStart project →
Analyzing NYC High School Data
Python · Beginner
Use pandas and Matplotlib to uncover trends in NYC schools.
6 stepsStart project →
Winning Jeopardy
FREE
Python · Beginner
Analyze text data and string operations to build a winning strategy.
8 stepsStart project →
Star Wars Survey
Python · Beginner
Map column values and use functions to analyze survey data.
9 stepsStart project →
Startup Fundraising on Crunchbase
Python · SQL · Beginner
Use pandas and SQLite to analyze startup investment deals.
4 stepsStart project →
Garden Simulator Text-Based Game
FREE
Python · Beginner
Practice OOP, error handling, and user input.
14 stepsStart project →
Word Radar
FREE
Python · Beginner
Use variables, lists, loops, and functions to build a guessing game.
11 stepsStart project →
Analyzing Kickstarter Projects
FREE
Python · Beginner
Use pandas to explore factors influencing campaign success.
9 stepsStart project →
Build a Food Ordering App
FREE
Python · Beginner
Use dictionaries, functions, conditionals, and loops.
12 stepsStart project →
Prison Break
FREE
Python · Beginner
Analyze data on helicopter prison escapes using lists.
14 stepsStart project →
Exploring Hacker News Posts
FREE
Python · Beginner
Practice Python basics, string cleaning, and data handling to uncover patterns.
8 stepsStart project →
Profitable App Profiles for the App Store and Google Play
FREE
Python · Beginner
Practice Python and data analysis on real mobile app market data.
14 stepsStart project →
Exploring eBay Car Sales Data
FREE
Python · Beginner
Practice data cleaning with pandas on a used-car dataset.
9 stepsStart project →
Analyzing NYC High School Data
Python · Beginner
Use pandas and Matplotlib to uncover trends in NYC schools.
6 stepsStart project →
Winning Jeopardy
FREE
Python · Beginner
Analyze text data and string operations to build a winning strategy.
8 stepsStart project →
Star Wars Survey
Python · Beginner
Map column values and use functions to analyze survey data.
9 stepsStart project →
Startup Fundraising on Crunchbase
Python · SQL · Beginner
Use pandas and SQLite to analyze startup investment deals.
4 stepsStart project →
Garden Simulator Text-Based Game
FREE
Python · Beginner
Practice OOP, error handling, and user input.
14 stepsStart project →
Word Radar
FREE
Python · Beginner
Use variables, lists, loops, and functions to build a guessing game.
11 stepsStart project →
Analyzing Kickstarter Projects
FREE
Python · Beginner
Use pandas to explore factors influencing campaign success.
9 stepsStart project →
Build a Food Ordering App
FREE
Python · Beginner
Use dictionaries, functions, conditionals, and loops.
12 stepsStart project →
Prison Break
FREE
Python · Beginner
Analyze data on helicopter prison escapes using lists.
14 stepsStart project →
step 05

Get certified.

Complete a career path, earn a credential.

Each career path ends with a certification. It represents a structured curriculum, dozens of exercises, and real portfolio projects. Employers can verify it.

dataquest
Certificate of Completion
presented to
Anishta Doe
in recognition of their successful completion of the
Data Engineer
dataquest
Certificate of Completion
presented to
Celeste Doe
in recognition of their successful completion of the
Data Scientist
dataquest
Certificate of Completion
presented to
Anna Doe
in recognition of their successful completion of the
AI Engineer
dataquest
Certificate of Completion
presented to
Mike Doe
in recognition of their successful completion of the
Data Analyst
dataquest
Certificate of Completion
presented to
Brayan Doe
in recognition of their successful completion of the
Business Analyst
dataquest
Certificate of Completion
presented to
Elena Doe
in recognition of their successful completion of the
Introduction to Cloud Computing
dataquest
Certificate of Completion
presented to
John Doe
in recognition of their successful completion of the
Building AI Apps with FastAPI

Dataquest makes your hard
work count.

Career changers, self-taught learners, and professionals who leveled up.

Otavio
"The learning paths on Dataquest are incredible. You don’t have to guess what you should learn next."
Otávio Silveira
Coach
Data Analyst
Read story
Francisco
"Dataquest finds a balance between being too easy and being so hard that you get discouraged."
Francisco Sosa
HR
Data Scientist
Read story
Viktoria
"I can’t believe how easily and clearly complex material is presented on Dataquest."
Viktoria Jorayeva
Linguist
Data Scientist
Read story
Sunischal
"The lessons are easy to absorb. Dataquest helped me get my dream job!"
Sunishchal Dev
IT
Data Scientist
Read story
Stacey
"Dataquest teaches you how you do data analysis in the real world."
Stacey Ustian
Librarian
Data Engineer
Read story
Rahila
"Dataquest is my favorite learning platform."
Rahila Hashim
Zoologist to Data Scientist
Read story

Grow your career with Dataquest.

Dataquest outcomes and industry data

98%
of learners recommend
Dataquest for career advancement
4.85
Dataquest rating
SwitchUp Best Bootcamps
$30k
Average salary boost
for learners who complete a path

Data roles in the US — 2026 median salaries

$108K
Data Analyst
$131K
Data Engineer
$145K
Data Scientist
Source: Glassdoor, Jan 2026 · WEF Future of Jobs 2025: Analytical Thinking = #1 in-demand skill, 3rd consecutive year

Common questions

Everything you need to know before getting started.

Do I need a degree or prior coding experience?
No. Every career path starts from zero. You'll write your first lines of code in the first lesson. Many of our most successful learners came from non-technical backgrounds.
How long does it realistically take?
At 5 hours a week, most learners finish a career path in 6 to 12 months. At 10+ hours a week, you can compress that to 4 to 6 months. We're honest about the time because it matters.
Are data skills still worth learning with AI everywhere?
More than ever. AI can generate code, but it can't decide which question to ask, clean messy data, or explain results to stakeholders. Analytical thinking is the #1 most in-demand skill globally (WEF, 2025) for the third year running.
What makes Dataquest different from other platforms?
You write code from the very first lesson. No videos to passively watch. Every path includes real-world projects built into the curriculum. And you always know exactly what to learn next.
Is there a free plan?
Yes. You can start learning immediately with free access to introductory content across all paths. No credit card required.

Join 1M+ data learners on Dataquest

This is where it starts.

Your first SQL query. Your first clean dataset. Your first project on GitHub. Start there. It's free.

No credit card. No deadline. Cancel anytime.