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Product Analytics

This course provides an introduction to one of the fastest growing specialized sub-domains of analytics and data science - product analytics. It will cover the three key areas of the domain over four weeks of study: introduction to metrics frameworks, product data collection principles and standards, and building a healthy experimentation program. This course is not aiming to provide a one-size-fits-all template to be reused across students’ companies, but rather to equip students with foundational ability to select appropriate frameworks and adapt them to their industry, growth stage, and data maturity levels. The primary audience for this course are “generalist” data analysts/scientists looking to get the most out of their technical skills with their targeted application to the highest leverage decision-making points and reduce their work’s time to value. However, the course is also made accessible from a technical standpoint to make it a good fit for product managers operating without consistent data support on their quest to be more efficient and data-driven.

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Elena Dyachkova
Sr Manager, Data at Bubble.io
Price
US$ 400
or included with membership
Duration
Coming soon
Sold out, but you can still join the waitlist!

Course taught by expert instructors

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Elena Dyachkova

Sr Manager, Data at Bubble.io

Elena Dyachkova is an experienced product analytics and data science leader. She has an educational background in Microeconomics via an MS degree from the Lomonosov Moscow State University. After spending early career in sports business and audience measurement industries, in 2018 she transitioned into product analytics. Elena joined Peloton in 2018 as the first data person on the product team. Over four years, she had grown the team, built out the measurement and experimentation frameworks, data collection practices, and product strategy decision support systems in the company encompassing the entire software and hardware engagement portfolio. Since 2022, Elena is building a product data science practice at a hyper growth stage mental health startup Spring Health.

The course

Learn and apply skills with real-world projects.

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Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.

Practice on the cutting edge

Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.

Flexible schedule for busy professionals

We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.

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Completion certificates

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Best-in-class outcomes

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Support & accountability

You are never alone, we provide support throughout the course.

Get reimbursed by your company

More than half of learners get their Courses and Memberships reimbursed by their company.

Hundreds of companies have dedicated L&D and education budgets that have covered the costs.

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