Product Analytics Certification Course

Product Analytics Certification Course

Take the course and get certified in product analytics to deepen your data expertise and advance your career.

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About this course

Product managers (PMs) have historically relied on gut feel to make decisions. They’d talk to a handful of customers, hear feedback and requests internally, and then decide what to prioritize. Although this operating model is still in practice, the best PMs are turning to quantitative data to bolster qualitative feedback, uncover insights about their users, and guide decision making. Product analytics data is essential to building great products—but just because you have access to this data doesn’t mean you’ll be successful. It takes strategy, practice, and buy-in across your organization. This course will dive deep into the foundations of product analytics methodology, use cases, and its place within a wider business strategy.

Who should take this course?

This course is designed for product leaders who want to grow their understanding of product analytics and bring data-driven practices to their own work, their team’s operating model, and their company’s culture. Whether you’re brand new to product analytics or have some experience collecting and analyzing product data, this course will help you set the right foundation for leveraging data effectively and ensuring the rest of your organization follows suit.

This course covers:

  • An overview of product analytics and how product analytics software works
  • The components of a successful product analytics strategy
  • The Product Analytics Hierarchy of Needs, a framework to help you take full advantage of product analytics
  • Tactical advice for leveraging analytics across five key use cases
  • How to use analytics to support higher level product and business decisions
  • Best practices for getting started with product analytics

What to expect:

  • Curriculum developed by industry leaders and product practitioners
  • Engaging, instructor-led videos that you can view at your own pace
  • Real-world examples from companies across industries
  • Exercises to help you solidify learnings and establish or improve your analytics strategy
  • Optional exam to check your knowledge and earn a certification badge
  • Optional videos that show how to apply course material in Pendo

Course materials:

  • Downloadable workbook 
  • Exam study guide

Time commitment: 3 hours

Curriculum3 hours

  • Module 1: Welcome to the Product Analytics Certification Course
  • Introduction to the Product Analytics Certification Course (6:40)
  • [Optional] Set up your free Pendo account (1:40)
  • Download your course workbook and study guide
  • Module 2: Product analytics, explained
  • Introduction to product analytics, explained (0:40)
  • Why product analytics matters (5:30)
  • Introduction to product analytics software (3:40)
  • How analytics fits into a product-led strategy (7:25)
  • Data literacy glossary (6:50)
  • Summary: Key takeaways and action items (3:00)
  • Quiz Yourself
  • Module 3: Defining your product analytics strategy
  • Introduction to defining your product analytics strategy (1:25)
  • Setting priorities for product analytics (3:55)
  • Questions you can ask of product analytics (4:35)
  • [Optional] See it in Pendo: Answer questions about users and their behavior (3:25)
  • Which metrics matter? (9:05)
  • Exercise: Mapping your North Star Metric (3:40)
  • What makes for a successful product analytics strategy? (4:20)
  • Documenting and sharing your analytics strategy (3:00)
  • The importance of qualitative data (4:10)
  • Summary: Key takeaways and action items (2:55)
  • Quiz yourself
  • Module 4: A framework for using product analytics effectively
  • Introduction to a framework for using product analytics effectively (1:00)
  • Becoming a data-informed product organization (5:10)
  • Step 1: Collect data (2:10)
  • Step 2: Refine data into metrics (4:40)
  • Step 3: Build metrics into reports (3:05)
  • Step 4: Take action (3:30)
  • The final step: Data Actualization (1:50)
  • Exercise: Using the Product Analytics Hierarchy of Needs (2:35)
  • [Optional] See it in Pendo: Apply the Product Analytics Hierarchy of Needs (5:45)
  • Summary: Key takeaways and action items (2:00)
  • Quiz yourself
  • Module 5: Product analytics in practice
  • Introduction to product analytics in practice (1:00)
  • Finding and choosing aha moments (6:10)
  • Prioritizing your team’s work (3:10)
  • Tracking adoption and measuring success of new features (6:10)
  • [Optional] See it in Pendo: Track and analyze feature adoption (2:40)
  • Identifying friction (4:35)
  • [Optional] See it in Pendo: Analyze user friction with Funnels (2:30)
  • Sunsetting features and products (6:25)
  • Exercise: Understanding your product’s core features (3:30)
  • Summary: Key takeaways and action items (2:10)
  • Quiz yourself
  • Module 6: Using product analytics to make a business case
  • Introduction to using product analytics to make a business case (0:55)
  • Connecting product outcomes to business outcomes (3:00)
  • The product business case (7:45)
  • Exercise: Building a business case for your product decisions (3:40)
  • Summary: Key takeaways and action items (2:30)
  • Quiz yourself
  • Module 7: Getting started with product analytics
  • Introduction to getting started with product analytics (1:05)
  • When to invest in product analytics (2:25)
  • Choosing your product analytics tool (2:40)
  • Building a case for product analytics software (6:15)
  • Exercise: Making the case for product analytics software (2:30)
  • Best practices for getting started with product analytics (3:35)
  • Summary: Key takeaways and action items (2:50)
  • Quiz yourself
  • Module 8: Product Analytics Certification Course next steps
  • Product Analytics Certification Course next steps
  • Certification Exam
  • Certification Exam

About this course

Product managers (PMs) have historically relied on gut feel to make decisions. They’d talk to a handful of customers, hear feedback and requests internally, and then decide what to prioritize. Although this operating model is still in practice, the best PMs are turning to quantitative data to bolster qualitative feedback, uncover insights about their users, and guide decision making. Product analytics data is essential to building great products—but just because you have access to this data doesn’t mean you’ll be successful. It takes strategy, practice, and buy-in across your organization. This course will dive deep into the foundations of product analytics methodology, use cases, and its place within a wider business strategy.

Who should take this course?

This course is designed for product leaders who want to grow their understanding of product analytics and bring data-driven practices to their own work, their team’s operating model, and their company’s culture. Whether you’re brand new to product analytics or have some experience collecting and analyzing product data, this course will help you set the right foundation for leveraging data effectively and ensuring the rest of your organization follows suit.

This course covers:

  • An overview of product analytics and how product analytics software works
  • The components of a successful product analytics strategy
  • The Product Analytics Hierarchy of Needs, a framework to help you take full advantage of product analytics
  • Tactical advice for leveraging analytics across five key use cases
  • How to use analytics to support higher level product and business decisions
  • Best practices for getting started with product analytics

What to expect:

  • Curriculum developed by industry leaders and product practitioners
  • Engaging, instructor-led videos that you can view at your own pace
  • Real-world examples from companies across industries
  • Exercises to help you solidify learnings and establish or improve your analytics strategy
  • Optional exam to check your knowledge and earn a certification badge
  • Optional videos that show how to apply course material in Pendo

Course materials:

  • Downloadable workbook 
  • Exam study guide

Time commitment: 3 hours

Curriculum3 hours

  • Module 1: Welcome to the Product Analytics Certification Course
  • Introduction to the Product Analytics Certification Course (6:40)
  • [Optional] Set up your free Pendo account (1:40)
  • Download your course workbook and study guide
  • Module 2: Product analytics, explained
  • Introduction to product analytics, explained (0:40)
  • Why product analytics matters (5:30)
  • Introduction to product analytics software (3:40)
  • How analytics fits into a product-led strategy (7:25)
  • Data literacy glossary (6:50)
  • Summary: Key takeaways and action items (3:00)
  • Quiz Yourself
  • Module 3: Defining your product analytics strategy
  • Introduction to defining your product analytics strategy (1:25)
  • Setting priorities for product analytics (3:55)
  • Questions you can ask of product analytics (4:35)
  • [Optional] See it in Pendo: Answer questions about users and their behavior (3:25)
  • Which metrics matter? (9:05)
  • Exercise: Mapping your North Star Metric (3:40)
  • What makes for a successful product analytics strategy? (4:20)
  • Documenting and sharing your analytics strategy (3:00)
  • The importance of qualitative data (4:10)
  • Summary: Key takeaways and action items (2:55)
  • Quiz yourself
  • Module 4: A framework for using product analytics effectively
  • Introduction to a framework for using product analytics effectively (1:00)
  • Becoming a data-informed product organization (5:10)
  • Step 1: Collect data (2:10)
  • Step 2: Refine data into metrics (4:40)
  • Step 3: Build metrics into reports (3:05)
  • Step 4: Take action (3:30)
  • The final step: Data Actualization (1:50)
  • Exercise: Using the Product Analytics Hierarchy of Needs (2:35)
  • [Optional] See it in Pendo: Apply the Product Analytics Hierarchy of Needs (5:45)
  • Summary: Key takeaways and action items (2:00)
  • Quiz yourself
  • Module 5: Product analytics in practice
  • Introduction to product analytics in practice (1:00)
  • Finding and choosing aha moments (6:10)
  • Prioritizing your team’s work (3:10)
  • Tracking adoption and measuring success of new features (6:10)
  • [Optional] See it in Pendo: Track and analyze feature adoption (2:40)
  • Identifying friction (4:35)
  • [Optional] See it in Pendo: Analyze user friction with Funnels (2:30)
  • Sunsetting features and products (6:25)
  • Exercise: Understanding your product’s core features (3:30)
  • Summary: Key takeaways and action items (2:10)
  • Quiz yourself
  • Module 6: Using product analytics to make a business case
  • Introduction to using product analytics to make a business case (0:55)
  • Connecting product outcomes to business outcomes (3:00)
  • The product business case (7:45)
  • Exercise: Building a business case for your product decisions (3:40)
  • Summary: Key takeaways and action items (2:30)
  • Quiz yourself
  • Module 7: Getting started with product analytics
  • Introduction to getting started with product analytics (1:05)
  • When to invest in product analytics (2:25)
  • Choosing your product analytics tool (2:40)
  • Building a case for product analytics software (6:15)
  • Exercise: Making the case for product analytics software (2:30)
  • Best practices for getting started with product analytics (3:35)
  • Summary: Key takeaways and action items (2:50)
  • Quiz yourself
  • Module 8: Product Analytics Certification Course next steps
  • Product Analytics Certification Course next steps
  • Certification Exam
  • Certification Exam