June cohort

Make better decisions and build more impactful products by mastering your data. Learn data model, experiment, ML fundamental in 3 weeks 🔥

Debbie Widjaja

Data Mastery for Product Managers

When people talk about "learning data", they usually mean "learning to analyze the data you already have". But what if you don't even have the necessary data to begin with, because you didn't make the right decisions as you were building your products? In my experience building products over a decade, I've made and dealt with mistakes around data that hinder product development. Yes, it happens even at Meta 😱 In this 3-week course, we will go back to the fundamentals, tear down the jargon, and deeply understand the data structure behind your products. You'll learn to ask the right questions and put the right constraints to ensure your product is set up for success. Each week, you will have: - 90 mins of live session dedicated to hands-on exercises and deep dives to put the concept into practice. This is at 5pm GMT/12pm EST/9am PST.- NEW: 45 mins of recorded content you can review in your own time before the live session.- NEW: 2 x 45 mins of optional Q&amp;A and project guidance at Australia/Asia/West Coast-friendly timezones.- Hands-on projects and assignments to deepen your understanding.- Individual feedback on your projects and assignments from me.

You've been focusing on the wrong data skills.

Product managers, designers, UX-ers looking to deepen their product craft and make better decisions by utilizing data

Non-technical founders looking to ensure their product's data structure is optimized for future innovation

Business leaders looking to interact more effectively with the product and tech teams

Who this course is for

What you’ll learn in this course

Interact with the engineers more effectively and ensure your product's success by understanding the data model behind your product.

Understand your product's data model

Define the right success metrics for your product, monitor impact to business outcomes, and design a robust experiment.

Ensure robust success measurement

Scale and future-proof your product by utilizing data. Identify the right opportunities to ensure that you start gathering the right data ASAP.

Identify opportunities for machine learning & automation

<ul><li>Data model overview and how your product's data evolves</li><li>Understand how data connects to each other</li><li>Understand the implications of your data decisions for your product // your product decisions for your data model</li></ul>

Data model fundamentals

<ul><li>Defining the right metrics for your product releases</li><li>Understanding the difference between outcome and output metrics</li><li>Creating an experiment design</li></ul>

Metrics and experiment design

<ul><li>Traditional software vs ML overview</li><li>Identifying machine learning opportunities</li><li>Ensuring you have the right data for future development</li><li>Measuring success of ML projects</li></ul>

Identifying machine learning opportunities

Course syllabus

What people are saying

Meet your instructor

Stop zoning out when your data scientists are talking about machine learning, or when your engineers are talking about data models.

Speak confidently about technical concepts

Understand the sharp insights and POV you can bring as a non-technical person to the team.

Carve out your unique value in the product team

Connect the dots between product vision and implementations through the language of data, metrics, and measurements.

Make better product decisions

Level up your impact by mastering data

We'll waste no time and get straight to the core: Applying the frameworks you've learned through the recorded videos and focusing on hands-on exercises and practices. The sessions will be recorded if you can't make it, and I also host office hours / project walk-through and Q&amp;A

Live sessions: Every Wednesday for 3 weeks

Youll learn the fundamental concepts and frameworks through these videos. Make sure you watch them before the live sessions so we can get going!

NEW: Recorded videos (watch before live sessions)

This is completely optional, but I strongly encourage it if you want to take your learning to the next level. Apply what you've learned to your own product or company.

Projects and case studies

I know peer-to-peer feedback can be unreliable. That's why I always spend a good amount of time reviewing your projects and assignments and giving individual feedback.

Personalized project feedback 

Some of my students are based in Australia and Asia, some other students have obligations which means they have to miss the live sessions. I added two more optional sessions @45 mins each week:<ul><li>8am GMT / 4pm Singapore time / 6pm Sydney time</li><li>8pm GMT / 4pm EST / 1pm PST</li></ul>

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