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Data Analytics for Business: Metrics & Decision Making
New
8 students
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.
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Course content
6 sections • 15 lectures • 1h 1m total length
Requirements
- Basic understanding of business concepts or working with data is helpful, but no advanced technical knowledge is required.
- No programming skills are needed. The course focuses on analytics thinking and decision-making rather than coding.
- Familiarity with basic metrics or reports can be helpful, but beginners who want to understand analytics concepts are also welcome.
- A willingness to think critically about data and business problems.
Description
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.
Who this course is for:
- Data analysts who want to strengthen their ability to solve business problems using data.
- Product managers who work with metrics and want to better understand user behavior and analytics.
- Business analysts and professionals who regularly work with reports, dashboards, or business metrics.
- Startup founders or managers who want to make better data-driven decisions.
- Anyone interested in learning how to interpret data and turn insights into business actions.