Product Analytics 101

From problems to progress: Learn to unlock insights that drive digital product success!

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Course Syllabus

Module 1: Understanding Digital Products

  • Lesson 1.1: Understanding Digital Products

  • Lesson 1.2: Fundamentals of Product Analytics

  • Lesson 1.3: Setting Objectives and KPIs

Module 2: Data Sources and Types

  • Lesson 2.1: Data Sources and Types

  • Lesson 2.2: Implementing Analytics Tools

  • Lesson 2.3: Data Privacy and Compliance

Module 3: Descriptive and Exploratory Analytics

  • Lesson 3.1: Descriptive Analytics

  • Lesson 3.2: Exploratory Data Analysis (EDA)

  • Lesson 3.3: Inferential Analytics

Module 4: Understanding User Journeys and Engagement

  • Lesson 4.1: Understanding User Journeys

  • Lesson 4.2: Engagement Metrics

  • Lesson 4.3: Cohort Analysis

Module 5: Conversion Optimization

  • Lesson 5.1: Fundamentals of CRO

  • Lesson 5.2: A/B Testing

  • Lesson 5.3: Personalization Strategies

Module 6: Performance and User Satisfaction

  • Lesson 6.1: Performance Indicators

  • Lesson 6.2: User Satisfaction Metrics

  • Lesson 6.3: Balancing Performance and User Experience

Module 7: Reporting and Data Storytelling

  • Lesson 7.1: Creating Effective Reports

  • Lesson 7.2: Storytelling with Data

  • Lesson 7.3: Dashboards and Real-Time Monitoring

Module 8: Advanced Analytics: Predictive, Ethical, and Emerging Trends

  • Lesson 8.1: Predictive Analytics and Machine Learning

  • Lesson 8.2: Ethical Considerations in Analytics

  • Lesson 8.3: Emerging Trends in Product Analytics

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Hi, I’m Santiago Tacoronte!

 

I’ve taught professionals and businesses around the world how to make smarter decisions using data — without becoming data scientists. This course brings together years of experience, simplified into a clear path for anyone.

Who is This course for?

The Product Analytics 101 course is designed for aspiring and early-career professionals who want to become data-savvy product thinkers. It's especially valuable for:

🎯 1. Aspiring Product Managers

Looking to break into product roles from backgrounds like marketing, operations, consulting, or engineering

Want to confidently talk metrics, dashboards, KPIs, and experiments in interviews and on the job

📈 2. Junior Product Managers / Associate PMs

Eager to build a stronger foundation in data analysis to drive product decisions

Want hands-on templates, automation, and real-world examples they can use immediately

🧪 3. UX Designers, Growth Marketers, or Analysts transitioning into Product

Interested in understanding product health, growth loops, and user behavior

Need a structured way to think about metrics, tracking plans, and A/B tests

🧰 4. Founders and Early-Stage Startup Teams

Need to set up product analytics from scratch

Want to understand what matters (and what doesn’t) when it comes to measuring product performance

👩‍💻 5. Career Switchers into Tech

From fields like finance, academia, or corporate strategy

Want to build fluency in digital product analytics and land a data- or product-adjacent role

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