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Coursera Google Data Analytics Professional Foundations: Data, Data, Everywhere (Week 1) Quiz Answer- Introducing data analytics.

 
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1.Introducing data analytics.

Question 1

Data analysis is the various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data.

  • True
  • False

Data analysis is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.


Question 2

Question 2

In data analytics, what term describes a collection of elements that interact with one another?

  • A data ecosystem
  • A database
  • The cloud environment
  • A modelling system
Data ecosystems are made up of elements that interact to produce, manage, store, organize, analyze, and share data.

Question 3

Fill in the blank: The primary goal of a data _____ is to find answers to existing questions by creating insights from data sources.

  • engineer
  • analyst
  • scientist
  • designer

The primary goal of a data analyst is to find answers to existing questions by creating insights from data sources.


Question 4

Select the best description of gut instinct.

  • An intuitive understanding of something with little or no explanation 
  • Choosing facts that complement your personal experiences
  • Manipulating data to match your intuition
  • Using your innate ability to analyze results

Gut instinct is an intuitive understanding of something with little or no explanation.


Question 5

Billings Upholstery has defined a problem it needs to solve: Find a more environmentally friendly way to produce its furniture. A data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. The analyst then shares their analysis with subject-matter experts from the manufacturing team, who validate the findings. Finally, a plan is put into action. This scenario describes what process?

  • Data-driven decision-making
  • Identification of trends
  • Data science
  • Customer service

This company has put data at the heart of its business strategy in order to achieve data-driven decision-making.

Question 6

What do subject-matter experts do to support data-driven decision-making? Select all that apply.

  • Validate the choices made as a result of the data insights
  • Collect, transform, and organize data
  • Offer insights into the business problem
  • Review the results of data analysis and identify any inconsistencies

Subject-matter experts can offer insights into the business problem, identify inconsistencies in the analysis, and validate the choices being made.


Question 7

Sharing the results of your analysis with colleagues who are very familiar with the business problem supports what practice? 

  • Data analytics
  • Data-driven decision-making
  • Data management
  • Data science

Sharing the results of your analysis with people who are familiar with the business problem is an example of data-driven decision-making. Data-driven decision-making is using facts to guide business strategy. 


Question 8

You read an interesting article in a magazine and want to share it in the discussion forum. What should you do when posting? Select all that apply.

  • Make sure the article is relevant to data analytics.
  • Check your post for typos or grammatical errors.
  • Take credit for creating the article.
  • Include your email address for people to send questions or comments.

Posts should be relevant to data analytics and checked for typos and grammatical errors. 

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                         Coursera Google Data Analytics Professional Quiz Answers   click here


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