3 Weeks
·Cohort-based Course
Grow your analytics skills to build better products. Learn to define metrics, do analysis, distill insights, and make data-driven decisions.
3 Weeks
·Cohort-based Course
Grow your analytics skills to build better products. Learn to define metrics, do analysis, distill insights, and make data-driven decisions.
Previously at
Course overview
As a product manager, your success depends highly on your quality of decision-making, strength of execution, and ability to influence your team and stakeholders at your company. Analytics is a key part of the puzzle, and the best product managers consistently leverage their own analytics skills to drive greater impact within their organizations.
In this 2-week course, I will teach you the core analytics tools and skills you need to build better products, make better decisions, and communicate your ideas using data.
WHAT YOU CAN EXPECT
This is a tactical and applied course aimed at giving you skills you can apply immediately in your job. You will be getting your hands dirty! By the end of the course, you will have learned enough skills to be dangerous, and you'll be well on your way to being self-sufficient in driving analytics for your product.
There are 4 modules that cover different ways product managers interact with data in their day-to-day work:
1. Product metrics: defining and operationalizing metrics, and connecting them to business outcomes.
2. Working with data: instrumenting, modeling, querying, and manipulating data.
3. Analysis frameworks: experimentation, user behavior analysis, roadmap prioritization, and other common analysis patterns.
4. Data-driven decision-making: distilling insights, making decisions, and telling stories with data.
Each module contains:
3 hours of live session dedicated to covering concepts, tactics, examples, and discussion.
1 hands-on mini-project to help you apply and practice the skills and frameworks we cover.
Individual feedback on your projects from me.
Finally, I will host an optional AMA / office hours each week to answer specific questions and discuss topics in more detail.
WHO WILL BENEFIT MOST FROM THIS COURSE
* Product managers and engineers who want to up-level their analytics skills and become self-sufficient, especially those who don't come from a quantitative background.
* Product managers and engineers who recently switched to a new role/product that is significantly more data-driven.
* Product managers and engineers who don't have analytics partners and need to become more self-sufficient.
* Product and business leaders who want to dive into the details and engage with their teams on analysis, metrics, and decision-making on a more tactical level.
WHO THIS IS NOT FOR
* This is not for you if you're not interested in doing the mini-projects. This is very much an applied course.
* This is not for you if you work at a company that's pre-PMF or where data doesn't play a big part in product development (e.g. non-software). Much of what we discuss won't be applicable to you.
* This is not for you if you're an experienced data scientist or analyst. Most of the material will be familiar to you.
01
Product managers and engineers looking to become self-sufficient in analytics in order to make better decisions and build better products.
02
Non-technical founders looking to build a data-driven product culture at their companies and want to develop the skills to lead by example.
03
Business leaders looking to engage at a deeper level with product managers and technical teams on roadmaps, decision, metrics, and goals.
Identify the right metrics for your product
Define the core metrics that best fit your product and goals. Understand how to operationalize them via dashboards and connect them to business goals to measure your team's impact.
Query and manipulate data without an analyst
Learn the fundamentals of SQL and spreadsheets and become self-sufficient in querying the data you need. Understand how data models and event data is created and used to calculate metrics.
Perform common product analytics tasks
Learn and apply common product analytics patterns such as hypothesis exploration, A/B testing, user behavior analysis, conversion flow optimization, roadmap prioritization, and more.
Make data-driven decisions, communicate with data
Distill insights from data and translate them into data-driven decisions. Create compelling narratives using data for different audiences.
7 interactive live sessions
Lifetime access to course materials
In-depth lessons
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Analytics for Product Managers
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Gleb Mezhanskiy
Ann Ferracane
James Hsu
Tyler Postle
Ojus Padston
Product lead at Stripe. Former head of analytics at Lyft and startup founder.
George has spent his entire career working in data: as a product builder, analytics leader, founder, and startup advisor.
He was head of analytics at Lyft from 2014-2020 and spearheaded data-driven decision-making at the company through a period of 100x growth.
After Lyft, George co-founded Supaglue, a data integrations company that raised $6M from Benchmark Capital and exited to Stripe.
Currently, George is a product lead at Stripe where he works on analytics and data products. In his free time, he enjoys helping early-stage startups and occasionally writes in his data blog.
Join an upcoming cohort
Cohort 1
$500
Dates
Payment Deadline
4-6 hours per week
Saturdays and Sundays
9am - 12pm PST
Live course instruction over 2 weekends. Each 3 hour session corresponds to a module.
Hands-on projects
4-6 hours total
We will have 4 take-home mini-projects that give you an opportunity to apply the learnings and frameworks from the modules.
Office hours (optional)
Tuesdays 5-6pm PST
Each week I will host office hours to answer questions and topics from the course.
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
I have a question about the course. How do I get in touch with George?
Join an upcoming cohort
Cohort 1
$500
Dates
Payment Deadline