Ask Questions to Make Data-Driven Decisions

  • 4.7
Approx. 18 hours to complete

Course Summary

Learn how to ask effective questions and make informed decisions with this course. Gain practical skills and techniques to improve your decision-making process.

Key Learning Points

  • Understand the importance of asking good questions
  • Learn how to gather and evaluate information
  • Develop critical thinking and decision-making skills

Related Topics for further study


Learning Outcomes

  • Develop effective questioning techniques
  • Improve decision-making skills
  • Enhance critical thinking abilities

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of problem-solving
  • Familiarity with data analysis

Course Difficulty Level

Beginner

Course Format

  • Self-paced
  • Online

Similar Courses

  • Effective Problem-Solving and Decision-Making
  • Data-driven Decision Making
  • Critical Thinking and Problem Solving

Related Education Paths


Notable People in This Field

  • Edward de Bono
  • Daniel Kahneman
  • Adam Grant

Related Books

Description

This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Knowledge

  • Explain how each step of the problem-solving road map contributes to common analysis scenarios.
  • Discuss the use of data in the decision-making process.
  • Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.
  • Describe the key ideas associated with structured thinking.

Outline

  • Effective questions
  • Introduction to problem-solving and effective questioning
  • Data in action
  • Nikki: The data process works
  • Common problem types
  • Problems in the real world
  • Anmol: From hypothesis to outcome
  • SMART questions
  • Evan: Data opens doors
  • Course syllabus
  • Learning Log: Consider what data means to you
  • Deciding if you should take the speed track
  • Optional: Your diagnostic quiz score and what it means
  • From issue to action: The six data analysis phases
  • Six problem types
  • More about SMART questions
  • Glossary: Terms and definitions
  • Optional: Familiar with data analytics? Take our diagnostic quiz
  • Test your knowledge on taking action with data
  • Test your knowledge on solving problems with data
  • Self-Reflection: Data analyst scenarios
  • Self-Reflection: Ask your own SMART questions
  • Test your knowledge on crafting effective questions
  • *Weekly challenge 1*
  • Data-driven decisions
  • Data and decisions
  • How data empowers decisions
  • Qualitative and quantitative data
  • The big reveal: Sharing your findings
  • Data versus metrics
  • Mathematical thinking
  • Data trials and triumphs
  • Qualitative and quantitative data in business
  • Learning Log: Ask SMART questions about real-life data sources
  • Designing compelling dashboards
  • Big and small data
  • Glossary: Terms and definitions
  • Test your knowledge on the power of data
  • Self-Reflection: Dive deeper into dashboards
  • Test your knowledge on following the evidence
  • Test your knowledge on connecting the data dots
  • *Weekly challenge 2*
  • More spreadsheet basics
  • The amazing spreadsheet
  • Get to work with spreadsheets
  • Step-by-step in spreadsheets
  • Formulas for success
  • Spreadsheet errors and fixes
  • Functions 101
  • Before solving a problem, understand it
  • Scope of work and structured thinking
  • Staying objective
  • Spreadsheets and the data life cycle
  • Learn more about spreadsheet basics
  • Quick reference: Formulas in spreadsheets
  • More about spreadsheet errors and fixes
  • Quick reference: Functions in spreadsheets
  • The importance of context
  • Learning Log: Define problems and ask questions with data
  • Glossary: Terms and definitions
  • Hands-On Activity: Introduction to Google Sheets
  • Test your knowledge on working with spreadsheets
  • Test your knowledge on using formulas in spreadsheets
  • Hands-On Activity: Create a Custom Data Table
  • Test your knowledge on using functions in spreadsheets
  • Hands-On Activity: Create a scope of work
  • Test your knowledge on structured thinking
  • *Weekly challenge 3*
  • Always remember the stakeholder
  • Communicating with your team
  • Balancing needs and expectations across your team
  • Focus on what matters
  • Clear communication is key
  • Tips for effective communication
  • Balancing expectations and realistic project goals
  • Sarah: How to communicate with stakeholders
  • The data tradeoff: Speed versus accuracy
  • Think about your process and outcome
  • Meeting best practices
  • Ximena: Joining a new team
  • From conflict to collaboration
  • Nathan: From the U.S. Marine Corps to data analytics
  • Course wrap-up
  • Congratulations!
  • Working with stakeholders
  • Data scenarios and responses
  • Limitations of data
  • Leading great meetings
  • Glossary: Terms and definitions
  • Test your knowledge on balancing team and stakeholder needs
  • Test your knowledge on clear communication
  • Test your knowledge on teamwork
  • *Weekly challenge 4*
  • *Course challenge*

Summary of User Reviews

Find out how to make informed decisions by asking the right questions in this comprehensive course. Users have praised the course for its practical approach to decision-making.

Key Aspect Users Liked About This Course

Practical approach to decision-making

Pros from User Reviews

  • Clear and concise explanations
  • Useful real-world examples
  • Interactive quizzes and exercises

Cons from User Reviews

  • Some users felt the course was too basic
  • Limited focus on complex decision-making scenarios
  • Not suitable for advanced learners
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Approx. 18 hours to complete
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