Course
Forming Analytical Questions
BasicSkill Level
Updated 03/2026Start Course for Free
Included withPremium or Teams
TheoryData Literacy1 hr12 videos35 Exercises2,400 XP29,649Statement of Accomplishment
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Learn to Solve Business Questions Using Data
Business questions often come in different forms depending on the specific context and purpose. What is the best pricing strategy for our new product? How can we improve our customer retention rates? Translating those questions into well-formed analytical questions is essential to solving the business question using data. This exciting non-technical course will equip you with the skills you need to make a business impact through efficient translation to analytical questions and the selection of the appropriate analytical solutions!Discover the Difference Between Business and Analytical Questions
You’ll start by learning the workflow for delivering valuable analytical solutions and the main challenges faced during this process. You’ll also learn to distinguish business questions from analytical questions.Next, you’ll discover best practices and techniques to understand the business problem through efficient communication. You’ll also discover techniques to translate the business question into a well-formed analytical question. Then, you’ll learn the various analytical solutions available for each type of question as well as techniques to select the right solution for the question.
Improve Business Outcomes with Well-Formed Analytical Questions
You’ll finish by deep diving into real applications of analytical questions and solutions in various industries. You’ll discover the different business problems companies face in industries such as e-commerce, automotive, healthcare, and banking and how these problems are translated into analytical problems and solutions.Feels like what you want to learn?
Start Course for FreeWhat you'll learn
- Recognize effective communication practices that clarify business needs, compare industry contexts, and support appropriate analytical framing.
- Assess how data availability, industry factors, and problem context influence the selection and interpretation of analytical methods.
- Determine how to translate business needs into analytical questions that are specific, measurable, actionable, relevant, and time-bound.
- Evaluate whether an analytical technique, model, or question is suitable given the objective, context, and constraints.
- Distinguish well-formed analytical questions from broad business questions by evaluating question types, methods, and constraints.
Prerequisites
There are no prerequisites for this course1
Delivering value through data
Data and analytics can bring immense business value. You will learn the workflow for delivering valuable analytical solutions, the differences between a business question and a well-formed analytical question, and the common challenges during the translation process.
2
Impactful solutions need the right questions
In this chapter, you will learn best practices and valuable techniques to understand the business problem, form analytical questions and select the right analytical solutions. You will also discover the main analytical techniques and for which type of questions they apply.
3
Analytical questions in action
In this chapter, you’ll dive deeper into the various business questions received based on the four types of analytics. You’ll apply all you’ve learned to real-world use cases: to translate business problems into well-formed analytical questions and find the best techniques to solve the problem and generate value for the business.
Forming Analytical Questions
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Enroll NowFAQs
Is this course suitable for beginners?
Yes. The course is non-technical and starts with foundational concepts, such as the distinction between business and analytical questions, so no data or coding background is required.
What will I be able to do after completing this course?
You will be able to translate vague business questions into well-formed analytical questions and select the appropriate analytical technique to address them.
Which industries and use cases are covered in this course?
The final chapter applies the skills to real-world problems in e-commerce, automotive, healthcare, and banking, showing how analytical questions are formed and solved in each context.
What are the four types of analytics covered, and why do they matter?
The course covers descriptive, diagnostic, predictive, and prescriptive analytics, helping you match each business problem to the right method rather than defaulting to one approach.
Who is this course designed for?
It is aimed at business analysts, data professionals, and anyone who works with stakeholders and needs to turn broad business needs into clear, actionable analytical questions.
How does this course approach the SMART framework for analytical questions?
You will learn to evaluate and write questions that are specific, measurable, actionable, relevant, and time-bound, using techniques tied to real business scenarios covered throughout the course.
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