2.1.Asking effective questions - sj50179/Google-Data-Analytics-Professional-Certificate GitHub Wiki

To do the job of a data analyst, you need to ask questions and problem-solve. In this part of the course, you’ll check out some common analysis challenges and how analysts address them. You'll also learn about effective questioning techniques that can help guide your analysis.

Learning Objectives

• Explain the characteristics of effective questions with reference to the SMART framework
• Discuss the common types of problems addressed by a data analyst
• Explain how each step of the problem-solving roadmap contributes to common analysis scenarios
• Explain the data analysis process, making specific reference to the ask, prepare, process, analyze, share, and act phases
• Describe the key ideas associated with structured thinking including the problem domain, scope of work, and context

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• Problem solving and effective questioning
• Take action with data
• Solve problems with data
• Craft effective questions
• Weekly challenge 1