Coursera Google Data Analytics Professional Certificate quiz answers to all eight program courses (1 – 8):
Course 1: Foundations: Data, Data, Everywhere quiz answers
Course 2: Ask Questions to Make Data-Driven Decisions quiz answers
Course 3: Prepare Data for Exploration quiz answers
Course 4: Process Data from Dirty to Clean quiz answers
Course 5: Analyze Data to Answer Questions quiz answers
Course 6: Share Data Through the Art of Visualization quiz answers
Course 7: Data Analysis with R Programming quiz answers
Course 8: Google Data Analytics Capstone quiz answers
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Google Data Analytics Professional Certificate quiz answers
This is your path to a career in data analytics. In this program, you’ll learn in-demand skills that will have you job-ready in less than 6 months. No degree or experience required.
1. Foundations: Data, Data, Everywhere quiz answers
1.1. Introducing data analytics
1.2. Thinking analytically
1.3. Exploring the wonderful world of data
1.4. Setting up a data toolbox
1.5. Discovering data career possibilities
2. Ask Questions to Make Data-Driven Decisions quiz answers
2.1. Effective questions
2.2. Data-driven decisions
2.3. More spreadsheet basics
2.4. Always remember the stakeholder
Course challenge
3. Prepare Data for Exploration quiz answers
3.1. Data types and structures
3.2. Bias, credibility, privacy, ethics, and access
3.3. Databases: Where data lives
3.4. Organizing and protecting your data
3.5. Optional: Engaging in the data community
Course challenge
4. Process Data from Dirty to Clean quiz answers
4.1. The importance of integrity
4.2. Sparkling-clean data
4.3. Cleaning data with SQL
4.4. Verify and report on your cleaning results
4.5. Optional: Adding data to your resume
4.6. Course challenge
5. Analyze Data to Answer Questions quiz answers
5.1. Organizing data to begin analysis
5.2. Formatting and adjusting data
5.3. Aggregating data for analysis
5.4. Performing data calculations
6. Share Data Through the Art of Visualization quiz answers
6.1. Visualizing data
6.2. Creating data visualizations with Tableau
6.3. Crafting data stories
6.4. Developing presentations and slideshows
7. Data Analysis with R Programming quiz answers
7.1. Programming and data analytics
7.2. Programming using RStudio
7.3. Working with data in R
7.4. More about visualizations, aesthetics, and annotations
7.5. Documentation and reports
8. Google Data Analytics Capstone quiz answers
8.1. Learn about capstone basics
8.2. Optional: Building your portfolio
8.3. Optional: Using your portfolio
8.4. Putting your certificate to work
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