analyze data to answer questions coursera quiz answers
Looking for ‘analyze data to answer questions coursera‘? This guide provides all the solutions for Course 5 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 – Organizing data to begin analysis
analyze data to answer questions weekly challenge 1 1. What is the goal of the analysis phase of the data analysis process? Answers To describe data structures To generate new data To identify trends and relationships in data To make generalizations about data 2. During which of the four phases
Week 2 – Formatting and adjusting data
analyze data to answer questions weekly challenge 2 1. An analyst notes that the “160” in cell A9 is formatted as text, but it should be Australian dollars. What spreadsheet tool can help them select the right format? Answers Format as Dollar EXCHANGE CURRENCY Format as Currency 2. You
Week 3 – Aggregating data for analysis
analyze data to answer questions weekly challenge 3 1. Fill in the blank: Data aggregation involves creating a _____ collection of data that originally came from multiple sources. Answers expanded localized modified summarized 2. A data analyst uses the SUM function to add together numbers from a spreadsheet. However, after
Week 4 – Performing data calculations
analyze data to answer questions weekly challenge 4 1. A data analyst is working with a spreadsheet from a furniture company. To use the template for this spreadsheet, click the link below and select “Use Template.” Link to template: Sample Transaction Table. Or, if you don’t have a Google account,
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Related content Answers:
Course 1: Foundations: Data, Data, Everywhere
Course 2: Ask Questions to Make Data-Driven Decisions
Course 3: Prepare Data for Exploration
Course 4: Process Data from Dirty to Clean
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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