Google Data Analytics Professional Certificate | Foundations: Data, Data, Everywhere

Foundations: Data, Data, Everywhere Week 1 Quiz Answers

About the Course:

• The course is a professional certificate program that consists of eight courses that cover the foundations and applications of data analytics.
• The course is designed by Google and taught by current Google data analysts who provide hands-on instruction and guidance.
• The course aims to prepare learners for entry-level jobs in data analytics, such as data analyst, junior data analyst, associate data analyst, etc.
• The course covers topics such as data types and structures, data cleaning and organization, data analysis and visualization, data storytelling, and data ethics.
• The course also teaches learners how to use various tools and platforms for data analytics, such as spreadsheets, SQL, R programming, Tableau, and more.
• The course requires no prior experience or degree in data analytics, and can be completed in less than six months at 10 hours a week.
• The course provides learners with a shareable certificate from Google that demonstrates their proficiency and skills in data analytics.
• The course also offers learners access to career resources such as resume review, interview prep, career support, and a job board that connects them with over 150 employers in Google's Employer Consortium.

I hope this summary helps you get an overview of the course content for Google Data Analytics course from Coursera. 😊

Practice Quiz-1 Answers

Understanding the data ecosystem:

Q1. Which of the following statements best defines data?

1. Data is an assortment of questions
2. Data is a business process
3. Data is a collection of facts
4. Data is the use of calculations and statistics

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Q2. Fill in the blank: In data analytics, the data ecosystem refers to the various elements that interact with one another to produce, manage, store, _____, analyze, and share data.

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1. organize
2. ingest
3. merge
4. locate

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Q3. Which of the following terms refers to the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making?

1. Data life cycle
2. Data insight
3. Data elements
4. Data analysis

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Q4. An airline collects, observes, and analyzes its customers’ online behaviors. Then, it uses the insights gained to choose what new products and services to offer. What business process does this describe?

1. Analytical thinking
2. Performance measurement
3. Collaboration with stakeholders
4. Data-driven decision-making

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Foundations: Data, Data, Everywhere Weekly Challenge 1 Answers

Q1. Which of the following options describes data analysis?

1. Creating new ways of modeling and understanding the unknown by using raw data
2. The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making
3. The various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data
4. Using facts to guide business strategy

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Q2. A business collects and analyzes information about its employees in order to gain insights that unlock potential and create a more productive workplace. What practice does this describe?

1. Workforce observation
2. Employee retention
3. Team collaboration
4. People analytics
   

Q3. In data analytics, a model is a group of elements that interact with one another.

1. True
2. False

Q4. Fill in the blank: The term _____ is defined as an intuitive understanding of something with little or no explanation.

1. awareness
2. personal opinion
3. rational thought
4. gut instinct

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Q5. A company defines a problem it wants to solve. Then, a data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. The analyst shares their analysis with subject-matter experts, who validate the findings. Finally, a plan is put into action. What does this scenario describe?

1. Identification of trends
2. Data-driven decision-making
3. Customer service
4. Data science

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Q6. Fill in the blank: The people very familiar with a business problem are called _____. They are an important part of data-driven decision-making.

1. subject-matter experts
2. stakeholders
3. competitors
4. customers

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Q7. A data analyst finishes analyzing data for a marketing project. The results are clear, so they present findings to the client and ask for conclusions and recommendations. What should they have done first?

1. Archived the datasets in order to keep them secure
2. Created a model based on the results of the analysis
3. Shared the results with subject-matter experts from the marketing team for their input
4. Surveyed customers about results, conclusions, and recommendations

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Q8. You have recently subscribed to an online data analytics magazine. You really enjoyed an article and want to share it in the discussion forum. Which of the following would be appropriate in a post? Select all that apply.

1. Including an advertisement for how to subscribe to the data analytics magazine
2. Checking your post for typos or grammatical errors
3. Giving credit to the original author
4. Including your own thoughts about the article