Become great at product analytics

Make data-driven decisions with product analytics

Online course

Product analytics

By Matthew Brandt,

Interim Head of Business Insights @ Penta

Course length: 7h 00min

Sign up to All-Access: $289 / month Buy just this program for $299

English subtitles Certificate included

How do you turn product insights into action?

It’s all about gathering, measuring, analyzing and communicating product milestones so your company can make data-driven decisions.

Through real-world examples, case studies and a look at what not to do, this course will teach you how to make product analytics a core competency and driver of growth at your company.

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  • Learn what makes product analytics unique

    "Classic” web analytics have similarities—and important differences—with product analytics.

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After 8 sessions, you’ll:

  • Be a master of collecting and analyzing product-level data accurately
  • Understand how to implement and track important product metrics
  • Know how to compare multiple segments of users with distinct traits and consolidate data from multiple users into single profiles
  • Be a pro at applying useful Google Sheets functions like VLOOKUP and COUNTIF and clustering data as well as apply common MySQL arguments such as COUNT, LIKE and CASE

Benefits

Google Analytics. Mixpanel. Adobe Analytics.

We’ve all heard of them — they’re great for websites and apps with predefined goals and metrics.

But your product is much more complex and often lacks clear targets or paths to success.

This course will demystify your product data and teach you the methods and techniques you need to turn that data into actionable insights.

Skills you will master

Google SheetsAnalysis toolsUser segmentationProduct AnalyticsVlookupTracking and reporting

This course had excellent quality and density of material, no bull****

Roman Podenezhnyi – Product Manager

This course is right for you if…

  • …you’re a Product Owner and need to understand more about your product
  • …you’re an Analyst in a product-driven organization
  • …you’re a UX Researcher and want to understand more about the product

This course is probably not for you if…

  • …you have no experience with traditional web analytics
  • …you already have 2+ years of experience in Product Analytics
  • …you’re not working with a product

Skills you should have before taking this course

  • Some familiarity with data collection, data storage (databases)
  • Good knowledge of common analytics tools such as Google Analytics, Kissmetrics, Webtrekk, Adobe Analytics
  • Experience using a web product (e.g. Trello, Dropbox, Salesforce, etc.)

Matthew Brandt

Interim Head of Business Insights @ Penta

A digital analyst for more than six years, Matthew has done end-to-end analytics for over 50 companies from the ground up by tracking concepts, overseeing implementations, building reporting and performing analyses of the data collected.

The last 2 years Matthew has been delivering deep insights to all different departments and teams of a SaaS-company with a web-based accounting product.

Course overview

Your full course curriculum

Product analytics

1 Introduction to product analytics

This class is about getting familiar with product analytics and its associated terms, common questions and pitfalls, as well as differences to other types of analytics (such as web analytics). You’ll also learn about what the difference is between a “c

2 Data collection done right

Collecting data correctly, at the right time and in the right format is a prerequisite of being able to do any kind of analysis afterwards. Knowing what (and what not) to collect is usually quite difficult, as many questions will not be known at the ti

3 Analysis tools

Mixpanel, Heap Analytics, Google Analytics, Amplitude, Snowplow – many tools exist on the market today that allow you to collect data and analyze it. Tying in with the previous class about data collection, you will learn about how that data is used in

4 Core metrics

All products are different and yet, there is a set of common metrics that can be applied universally to each product. This allows comparison across different industries as well as for analysts to compare with previous experiences. Learn some of these c

5 User & cohort analysis

In order to understand how well a product is performing, users must be understood as much as possible. In this class you will learn more about how to look at users and, specifically, subsets (known as cohorts) of these users for different purposes. Add

6 Common questions & challenges

This class addresses many questions that arise when analyzing products. In addition to looking at sample questions, you will also see many challenges that can arise due to, among other reasons, the nature of product analytics being very retroactive. To

7 Reporting on and monitoring product metrics

In previous classes, multiple metrics are shown as examples that can be used in product analytics. In this class, you will learn methods about how to report and monitor on these metrics and more. You will also learn some basic steps to visualizing data

8 Tie it all together

In this class, you will take all that you have learned about product analytics and learn how take your analysis to the next level by augmenting your data with data from other sources and systems. The real insights happen when you’re able to combine dat

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Learn Product Analytics: FAQ

Who is this course for?

This Product Analytics course is essential for you if:

  • you’re a Product Owner and need to understand more about your product
  • you’re an Analyst in a product-driven organization
  • you’re a UX Researcher and want to understand more about the product

Some careers that will especially benefit from this course are data analyst, digital marketing specialist, product marketer, SEO specialist, web analytics consultant, ecommerce manager, and digital analytics specialist.

What will you learn?

After taking this GA4 certification, you will:

  • Be a master of collecting and analyzing product-level data accurately
  • Understand how to implement and track important product metrics
  • Know how to compare multiple segments of users with distinct traits and consolidate data from multiple users into single profiles
  • Be a pro at applying useful Google Sheets functions like VLOOKUP and COUNTIF and clustering data as well as apply common MySQL arguments such as COUNT, LIKE and CASE

What does the course include?

Our Product Analytics training includes 9 lessons, 24 downloadable resources, 7h 00min of video material, several assignments, and a final exam.

Are subtitles available for the lessons?

Lessons have English subtitles and transcriptions available.

Will I receive a certificate of completion?

After taking this course, you will receive the Product Analytics Certification from CXL, with credentials that you can add to your LinkedIn profile.

What is the refund policy?

All plans come with a 7-day refund period .

How long will it take for me to finish it?

This is entirely up to you – it’s how many study hours per week you can put in. This course is 7h 00min long.