ask questions to make data-driven decisions coursera answers
Looking for ‘ask questions to make data-driven decisions course challenge answers‘? This guide provides all the solutions for Course 2 in the Google Data Analytics Professional Certificate. Whether you’re preparing for quizzes or the course challenge, these answers come with explanations to deepen your understanding.
Below, you will find all the modules in this course series, which include complete, accurate answers along with detailed explanations to help you grasp the core concepts.
Week 1 – Effective questions
ask questions to make data-driven decisions weekly challenge 1 answers 1. Structured thinking involves which of the following processes? Select all that apply. Answers Revealing gaps and opportunities Recognizing the current problem or situation Organizing available information Asking SMART questions 2. A data analyst creates data visualizations and a slideshow.
Week 2 – Data-driven decisions
ask questions to make data-driven decisions weekly challenge 2 answers 1. Which of the following statements describes an algorithm? Answers A process or set of rules to be followed for a specific task A method for recognizing the current problem or situation and identifying the options A tool that enables
Week 3 – More spreadsheet basics
ask questions to make data-driven decisions weekly challenge 3 answers 1. Fill in the blank: In spreadsheets, data analysts begin _____ with an equal sign (=). Answers cells numbers formulas charts 2. Fill in the blank: The labels that describe the type of data contained in each column of a
Week 4 – Always remember the stakeholder
ask questions to make data-driven decisions weekly challenge 4 answers 1. A data analyst starts a new project for the operations team at their company. They take a few hours at the beginning of the project to identify their stakeholders. The secondary stakeholders are most likely which of the following
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Related content Answers:
Course 1: Foundations: Data, Data, Everywhere
Course 3: Prepare Data for Exploration
Course 4: Process Data from Dirty to Clean
Course 5: Analyze Data to Answer Questions
Course 6: Share Data Through the Art of Visualization
Course 7: Data Analysis with R Programming
Course 8: Google Data Analytics Capstone: Complete a Case Study
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