Neuroscience → data science
Doubled her salary
Victoria moved from neuroscience research into data science, learning with Dataquest along the way.
Victoria Guzik · Data Scientist
Read story → 
This week only DataFest 2026: premium paths free Oct 19–25. Sign up free → DataFest 2026 · Free Oct 19–25
Understand AI. Build with AI.
Build the data skills behind AI systems.
Our premium Data Scientist and AI Engineer paths — the skills behind some of tech’s best-paid roles — are free for one week. Write real code from day one.
Starts Monday, October 19 · No credit card required
1# Day 1 · Clean real data
2import pandas as pd
3df = pd.read_csv("sales.csv").dropna()
4print(df.groupby("region")["revenue"].sum())▍
→ East 184220 · North 152940 · West 131575
IN-DEMAND SKILLS ON THIS PATH ■ this week □ keep going
Python
Data analysis
Data cleaning
Machine learning
01 · Choose your path
Two premium paths. Both free this week.
Pick the one that matches your goal. Both start with Python.
Understand AI
Data Scientist in Python
Build programming, statistics, data work, and predictive modeling skills.
PythonData analysisData visualizationData cleaningSQLStatisticsMachine learningDeep learningGit
Good fit if you want to build models or use data to make decisions.
ROLES IT BUILDS TOWARD
Data ScientistData AnalystMachine Learning Engineer
Build with AI
AI Engineer in Python
Build with APIs, LLMs, embeddings, vector databases, and RAG applications.
PythonLLM fundamentalsAPIsModel deploymentHugging FaceMachine learningRAGLLM evaluation
Good fit if you want to build LLM-powered products and tools.
ROLES IT BUILDS TOWARD
AI EngineerLLM Application DeveloperMachine Learning Engineer
02 · How the week works
A daily prompt. Your own pace.
Each day has a theme to keep you moving. Miss one? Pick up where you stopped.
0 Before
Choose your start
Pick a path and set a goal for the week.
1 Mon
Start learning
Open your first lesson.
2 Tue
Build momentum
Return and take the next lesson.
3 Wed
Connect to AI
See where your skill shows up in AI work.
4 Thu
Apply a concept
Try an exercise or project step.
5 Fri
Show progress
Recap your week. Share if you like.
6 Sat
Catch up
Get help from the community.
7 Sun
Finish and continue
Complete your milestone. Plan what’s next.
03 · Hands-on from lesson one
Learn by writing code, not watching it.
Read a concept, try it, get instant feedback. This is what every lesson feels like.
Start learning for free → FORTUNE 500 · AVERAGE REVENUETRY IT
Nice work! Sign up to keep learning.
04 · Your weekly win
Finish the week with something to show.
Every step counts. Finish one course and you’ve won the week — with a certificate to prove it.
✓ WIN 01
Started
Complete your first lesson.
✓ WIN 02
Came back
Return for a second session.
✓ WIN 03
Course finisher
Complete a full course.
✓ WIN 04
Project builder
Make progress on a guided project.
Certificate of Completion
presented to
Your Name
in recognition of their successful completion of the following course:
Your completed course
Vikas Paruchuri
Founder, Dataquest
05 · Where you start
Any level. A starting point that fits.
Beginner
New to Python. Start with the first course in either path.
Weekly win: Complete two lessons and work toward your first course.
Growing
Comfortable with basics. Jump into analysis, statistics, or LLM courses.
Weekly win: Finish a course or apply what you learned.
Builder
You’ve used pandas, ML, or built apps. Go deep on models, search, or RAG.
Weekly win: Reach an advanced module or project milestone.
06 · Where it can lead
One week is the start. Here’s where steady learning led.
These are longer journeys, not seven-day outcomes.
Projects that got him hired
Income up 2.25×
The projects Alejandro built while learning helped him land his current role as a data analyst.
Alejandro Giraldo Riveros · Data Analyst
Read story → 
Focused, short sprints
Finished a full path in under 4 weeks
Thorsten fit short, snackable lessons around his schedule and completed the Data Analyst path in less than a month.
Thorsten Scholl · Data Analyst path graduate
Read story → 07 · Sign up
Create your free account.
Free October 19–25 · No credit card required
Questions
Yes. Both premium paths are free to access from October 19 to 25. No credit card required.
Data Scientist in Python if you want to analyze data and build models. AI Engineer in Python if you want to build applications with language models. Both start with Python.
Yes. Both paths start with Python fundamentals. We’ll point you to the right first course after you sign up.
No — and you don’t need to. DataFest helps you take a real step: start a path, build momentum, and finish a course.
You can join any day. The daily prompts are a guide, not a streak — missing a day doesn’t count against you.
Free access ends. Your progress stays in your account, and you can keep going with a Dataquest plan.
The skills behind Data & AI careers. Free for seven days.
Full access to Data Scientist and AI Engineer in Python, October 19–25. After that, the door closes.
Start learning free →