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
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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