Funnel Analysis, Metrics & A/B Testing: From Data to Decisions
Many analysts know how to build dashboards and run queries — but struggle to answer the most important question:
What you’ll learn
- Define clear business problems and translate them into analytical questions..
- Identify and select the right metrics that reflect real business performance..
- Analyze user behavior using techniques such as funnels and segmentation..
- Identify root causes behind changes in key metrics and business performance..
- Turn analytical insights into actionable business decisions..
- Apply a structured analytics framework to investigate real business problems..
Course Content
- Introduction to Analytics Thinking –> 2 lectures • 11min.
- Defining the Right Problem –> 2 lectures • 10min.
- Choosing the Right Metrics –> 3 lectures • 9min.
- Understanding User Behavior –> 3 lectures • 12min.
- From Insight to Action –> 2 lectures • 8min.
- Measuring Impact & Continuous Improvement –> 3 lectures • 12min.
Requirements
Many analysts know how to build dashboards and run queries — but struggle to answer the most important question:
What should we do with the data?
This course is designed to help you move beyond reporting and develop real product analytics thinking — from identifying problems to driving decisions and measuring impact.
What You’ll Learn
In this course, you will learn how to:
- define the right business problems and ask effective analytical questions
- choose meaningful metrics and avoid misleading ones
- use funnels to understand user behavior and identify drop-offs
- find root causes behind performance issues
- turn insights into actionable recommendations
- prioritize solutions using impact vs effort frameworks
- measure results and validate improvements
- understand the basics of A/B testing
How This Course Is Different
This is not a tool-based course.
Instead of focusing on SQL, Python, or dashboards, this course teaches you how to think like an analyst.
You will learn a structured approach used in real companies:
Problem → Metrics → Behavior → Root Cause → Action → Impact
We will apply this framework throughout the course using a practical case study (QuickCart), so you can see how analytics works end-to-end.
Who This Course Is For
This course is ideal for:
- aspiring and junior data analysts
- product analysts and product managers
- business professionals working with data
- anyone who wants to move from data to decisions
Requirements
No technical background is required.
Basic understanding of data and business concepts is helpful, but the course is designed to be accessible for beginners.
By the End of the Course
You will be able to:
- approach problems like a product analyst
- identify where and why performance drops
- propose data-driven solutions
- measure impact and validate results
If you want to move beyond dashboards and start making real business impact with data, this course is for you.