Ask Questions to Make Data-Driven Decisions
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Ask Questions to Make Data-Driven Decisions at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Ask Questions to Make Data-Driven Decisions at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 8 in the Google Data Analytics
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level No prior experience with spreadsheets or data analytics required. All you need is high-school level math and a curiosity about how things work.
- Approx. 17 hours to complete
- English Subtitles: English
Ask Questions to Make Data-Driven Decisions at Coursera Course details
- 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.
- Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
- By the end of this course, you will:
- - Learn about effective questioning techniques that can help guide analysis.
- - Gain an understanding of data-driven decision-making and how data analysts present findings.
- - Explore a variety of real-world business scenarios to support an understanding of questioning and decision-making.
- - Discover how and why spreadsheets are an important tool for data analysts.
- - Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions.
- - Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.
Ask Questions to Make Data-Driven Decisions at Coursera Curriculum
Asking effective questions
Welcome to the course
Data in action
Nikki: The data process works
Common problem types
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: SMART questions in real life
Test your knowledge on crafting effective questions
*Weekly challenge 1*
Making 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
Learning Log: Ask SMART questions about real-life data sources
Qualitative and quantitative data
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*
Learning spreadsheet basics
The amazing spreadsheet
Get to work with spreadsheets
Optional Refresher: Get ready for Qwiklabs
Step-by-step in spreadsheets
Formulas for success
Functions 101
Optional Refresher: Welcome to Qwiklabs
Before solving a problem, understand it
Scope of work and structured thinking
Staying objective
Spreadsheets and the data life cycle
Optional Refresher: Instructions for accessing Qwiklabs
Learn more about spreadsheet basics
Quick reference: Formulas in spreadsheets
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
Test your knowledge on working with spreadsheets
Test your knowledge on using formulas in spreadsheets
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
Coming up next...
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*
Ask Questions to Make Data-Driven Decisions at Coursera Admission Process
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