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 3-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 3 core modules that cover different ways product managers interact with data in their day-to-day work:

1. Product metrics: defining metrics, metrics trees, and designing event schemas.

2. Product data analysis: experimentation, customer segmentation, cohort analysis, funnel analysis, and other common analysis patterns.

3. Influencing with data: distilling insights, building dashboards, and creating compelling presentations.

Each module contains:

* 30-45 minutes of recorded lecture that you can watch on your own schedule.

* Pre-reading and supplemental material to help you learn and go deeper.

* 3 hours of live session dedicated to covering examples and live workshops.

* HW assignment that reinforces the material helps you practice the skills you learn at home.

* 1 hour optional AMA / office hours each week where I answer questions and provide HW feedback.

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 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.