We help people make better decisions with data.

Live courses, free weekly workshops and team training in AI analytics.

Shane ButlerHai GuanSravya Madipalli
Taught by Shane Butler, Hai Guan and Sravya Madipalli
The analytics workflow
01
Goal AI clarifies the decision You pick what matters
02
Question AI proposes and reframes questions You pick what is worth asking
03
Metric AI calculates it You define what counts
04
Analysis AI proposes methods, runs the code You review assumptions, set the quality bar
05
Insight AI surfaces patterns You judge what it means for the business
06
Decision AI drafts options You decide what to act on
07
Story AI drafts the readout You own what it says
08
Close the loop AI watches the result You learn and set the next goal
★★★★★
4.9/5
from 78 reviews on Maven
600+
students from 400 companies
From 78 public reviews on Maven
★★★★★

“Best course I've attended so far. Fully hands-on, with three instructors who were friendly, real, and not afraid to say 'I don't know.'”

Anurag
Vice President, AngelOne
★★★★★

“Loved it, gained actionable skills, would recommend to any analytics team.”

Diana
Director, Data Science, L'Oréal
★★★★★

“This course completely changed my idea of data science work of the future. I have a new direction for self-directed learning and a whole world of new ideas for my career.”

Chris
Senior Data Scientist, L'Oréal USA
★★★★★

“Especially helpful for beginners looking to explore how AI-enabled workflows can accelerate insights without compromising rigor or accuracy.”

Sudarshan
Data Scientist, Activision
★★★★★

“You'll come out of the course with tons of ideas for agents and skills you can create to make your company's data org operate more efficiently.”

Nico
Senior Analytics Manager, GoDaddy
★★★★★

“Practical, engaging, and a strong introduction to AI analytics. It was especially useful to see how Claude can support real-world business thinking and workflow design.”

Karan
Executive Director, UBS
★★★★★

“Great course to learn the latest practices around AI applications in analytics!”

Roberto
Director, Business Operations & Analytics, Housecall Pro
★★★★★

“I came away with a clear understanding of how to define skills, build agents, and work with MCPs. Concepts that clicked in a way they hadn't before.”

Laura
Analytics Engineer
★★★★★

“Within two days I had it up and running. It opened my eyes to what's possible and made the whole thing feel way more approachable than I expected.”

Yousef
Data and Analytics Manager, NBK Wealth
★★★★★

“I highly recommend this course for any data scientists who are looking to level up in how you can use AI to speed up your own productivity and build durable analytical agent systems.”

Nicole
Data Scientist, Dataro
★★★★★

“Showed how to take advantage of AI for analytical work. Opened my eyes to the possibilities and offered a practical walkthrough of how to set up your own AI analyst.”

Michael
Sr. Manager, Collections Analytics, LendingPoint
★★★★★

“I found the course materials valuable for business analysts, data analysts, and data scientists looking to adopt an agentic-first analytical workflow.”

Ethan
Data Analyst, Adobe
★★★★★

“Best course I've attended so far. Fully hands-on, with three instructors who were friendly, real, and not afraid to say 'I don't know.'”

Anurag
Vice President, AngelOne
★★★★★

“Loved it, gained actionable skills, would recommend to any analytics team.”

Diana
Director, Data Science, L'Oréal
★★★★★

“This course completely changed my idea of data science work of the future. I have a new direction for self-directed learning and a whole world of new ideas for my career.”

Chris
Senior Data Scientist, L'Oréal USA
★★★★★

“Especially helpful for beginners looking to explore how AI-enabled workflows can accelerate insights without compromising rigor or accuracy.”

Sudarshan
Data Scientist, Activision
★★★★★

“You'll come out of the course with tons of ideas for agents and skills you can create to make your company's data org operate more efficiently.”

Nico
Senior Analytics Manager, GoDaddy
★★★★★

“Practical, engaging, and a strong introduction to AI analytics. It was especially useful to see how Claude can support real-world business thinking and workflow design.”

Karan
Executive Director, UBS
★★★★★

“Great course to learn the latest practices around AI applications in analytics!”

Roberto
Director, Business Operations & Analytics, Housecall Pro
★★★★★

“I came away with a clear understanding of how to define skills, build agents, and work with MCPs. Concepts that clicked in a way they hadn't before.”

Laura
Analytics Engineer
★★★★★

“Within two days I had it up and running. It opened my eyes to what's possible and made the whole thing feel way more approachable than I expected.”

Yousef
Data and Analytics Manager, NBK Wealth
★★★★★

“I highly recommend this course for any data scientists who are looking to level up in how you can use AI to speed up your own productivity and build durable analytical agent systems.”

Nicole
Data Scientist, Dataro
★★★★★

“Showed how to take advantage of AI for analytical work. Opened my eyes to the possibilities and offered a practical walkthrough of how to set up your own AI analyst.”

Michael
Sr. Manager, Collections Analytics, LendingPoint
★★★★★

“I found the course materials valuable for business analysts, data analysts, and data scientists looking to adopt an agentic-first analytical workflow.”

Ethan
Data Analyst, Adobe

Use AI to do the analysis, or build the AI that does it.

Two live courses on Maven, five weeks each.
For people who decide with data

AI Analytics for Everyone

Answer your own data questions with AI, and check the answers yourself.

WEEK 1
Think like a product data scientist
WEEK 2
Set up your AI analytical toolkit
WEEK 3
Metrics and root cause analysis
WEEK 4
Experimentation and causal thinking
WEEK 5
Storytelling and influence
Price
$1,800 live, or $1,295 self-paced
Next cohort
Oct 19 to Nov 22, 2026
Format
84 lessons, 10 live sessions, 5 projects
Rating
★★★★★4.9/5
For people who build the tools

Agentic Analytics: Build an AI Analyst

Build an AI analyst your team can trust, and prove it works.

WEEK 1
Foundations of agentic analytics
WEEK 2
Design the system, connect MCPs and a warehouse
WEEK 3
AI evals for AI analytics
WEEK 4
Context engineering and management
WEEK 5
Open source models and leading an AI-native data team
Price
$2,500
Next cohort
Nov 2 to Dec 4, 2026
Format
10 live sessions of 2 hours, weekly office hours
Rating
★★★★★4.9/5

Trusted by analysts and product managers at

and about 400 other companies
Adobe
Amazon
Walmart
Intuit
Salesforce
Wells Fargo
Microsoft
Google
Meta
PayPal
Dell
FedEx
DocuSign
Autodesk
Cisco
LinkedIn
Free, every week

Free AI analytics workshop every Wednesday.

10 AM Pacific, live on Maven. One topic a week. Bring a question from your own work.

WED SEP 30
Ace Analytics Interviews with AI
Register
WED OCT 7
Metrics 101: Define a North Star with AI
Register
WED OCT 14
Build a Semantic Layer So AI Defines Your Metrics
Register
WED OCT 21
Experimentation 101: Run an A/B Test with AI
Register
WED OCT 28
Trust Your AI Analytics: Know When the Number Is Right
Register
For teams

Train the whole team at once.

Ten or more seats get 30% off a public cohort. Or we run a private cohort on your schedule. Custom programs are built around your data and your stack.

"Loved it, gained actionable skills, would recommend to any analytics team."

Diana
Director of Data Science, L'Oréal

Taught by people who ran data teams.

Shane Butler
Shane Butler
Data science at Stripe, Nextdoor and Ontra.
Hai Guan
Hai Guan
Data at Nextdoor, LinkedIn, Pinterest and Meta.
Sravya Madipalli
Sravya Madipalli
Data science at Superhuman, Microsoft, eBay and Nextdoor.

Questions people ask before they enroll

Which course should I take?

Take AI Analytics for Everyone if you use data to make decisions. Take Agentic Analytics if you want to build the analyst your team uses. Read the five weeks of each

Do I need SQL or Python?

No. AI writes the code in both courses. You learn to set the question and check the result. See what each week covers

What if I miss a live session?

Every live session is recorded. Agentic Analytics also includes one free retake. See the schedule

Can my company pay for this?

Yes. Maven issues an invoice you can expense. Ten or more seats get 30% off. See team pricing

Is there a self-paced option?

AI Analytics for Everyone runs self-paced for $1,295, with the same 84 lessons and projects. Agentic Analytics is live only. See the self-paced edition

Next cohorts start Oct 19 and Nov 2.

AI Analytics for Everyone
$1,800 · Oct 19 · ★ 4.9/5
Enroll on Maven
Agentic Analytics: Build an AI Analyst
$2,500 · Nov 2 · ★ 4.9/5
Enroll on Maven
Or come to a free workshop this Wednesday. Register free