data analysts use archiving to separate current

Course 3 – Prepare Data for Exploration Quiz Answers

Week 4: Organizing and Protecting Your Data

GOOGLE DATA ANALYTICS PROFESSIONAL CERTIFICATION

Complete Coursera Study Guide

Organizing and Protecting Your Data INTRODUCTION

Organizational skills are essential for anyone working in the data analytics field data analysts use archiving to separate current from past work. In this part of the Coursera Google Data Analytics Professional Certification, you will learn how to organize and protect your data properly. You will be introduced to techniques and tools which allow you to keep track of your progress within a dataset.

Furthermore, file naming conventions and other best practices will be discussed, demonstrating their importance in providing structure and continuity throughout a project or analysis. Organizing data correctly not only saves time during development but also ensures the integrity of results when they are shared with stakeholders. By grasping these key principles, you can make sure that whatever data solution you create has been built upon solid foundations.

Learning Objectives

  • Explain steps that can be taken to secure data
  • Discuss the use of file-naming conventions by data analysts
  • Describe best practices for organizing data

Test your knowledge on how to organize data

1. Data analysts use archiving to separate current from past work. it also cuts down on clutter.

  • Reviewing current data files to confirm they’ve been cleaned
  • Reorganizing and renaming current files
  • Moving files from completed projects to another location (Correct)
  • Using secure data-erase software to destroy old files

Correct: Archiving involves moving files from completed projects to a separate location.

2. Data analysts use guidelines to describe a file’s version, content, and date created. What are these guidelines called?

  • Naming references
  • Naming attributes
  • Naming conventions (Correct)
  • Naming verifications

Correct: Naming conventions are guidelines that describe the content, date, or version of a file.

3. Data analysts use foldering to achieve what goals? Select all that apply.

  • To organize files into subfolders (Correct)
  • To keep project-related files together (Correct)
  • To assign metadata about the folders
  • To transfer files from one place to another

Correct: Data analysts use foldering to keep project-related files together and organize them into subfolders.

4. Fill in the blank: To separate current from past work and reduce clutter, data analysts create _____. This involves moving files from completed projects to a separate location.

  • structures
  • backups
  • copies
  • archives (Correct)

Correct: To separate current from past work and reduce clutter, data analysts create archives.

5. What is the process of structuring folders broadly at the top, then breaking down those folders into more specific topics?

  • Creating a hierarchy (Correct)
  • Producing a backup
  • Assigning naming conventions
  • Developing metadata

Correct: The process of structuring folders broadly at the top, then breaking down those folders into more specific topics, is creating a hierarchy.

6. Successful file naming conventions include information that’s useful when trying to locate or update a file. Which of the following is an effective file name?

  • AirportCampaign_2013_10_09_V01 (Correct)
  • Data_519
  • CampaignData_03
  • May30-2019_AirportAdvertisingCampaignResults_Terminals3-5_InclCustSurveyResponses_PLUS_IdeasforJune

Correct: AirportCampaign_2013_10_09_V01 is an effective file name because it is an appropriate length and it references the project name, creation date, and version.

Test your knowledge on securing your data

1. Fill in the blank: Data security involves using _____ to protect data from unauthorized access or corruption.

  • metadata
  • data validation
  • safety measures (Correct)
  • foldering

Correct: Data security involves using safety measures to protect data from unauthorized access or corruption.

2. When using data security measures, analysts can choose between protecting an entire spreadsheet or protecting certain cells within the spreadsheet.

  • True (Correct)
  • False

Correct: When using data security measures, analysts can choose between protecting an entire spreadsheet or protecting certain cells within the spreadsheet. Data security can be used to protect an entire spreadsheet, specific parts of a spreadsheet, or even just a single cell.

3. What tools can data analysts use to control who can access or edit a spreadsheet? Select all that apply.

  • Sharing permissions (Correct)
  • Encryption (Correct)
  • Filters
  • Tabs

Correct: Data analysts use encryption and sharing permissions to control who can access or edit a spreadsheet.

GOOGLE DATA ANALYTICS COURSERA ANSWERS AND STUDY GUIDE

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Prepare Data for Exploration Weekly Challenge 4

1. A data analytics team labels its files to indicate their content, creation date, and version number. The team is using what data organization tool?

  • File-naming verifications
  • File-naming conventions (Correct)
  • File-naming attributes
  • File-naming references

Correct: The team is using file-naming conventions, which are consistent guidelines that describe the content, creation date, or version of a file.

2. A data analytics team uses data about data to indicate consistent naming conventions for a project. What type of data is involved in this scenario?

  • Big data
  • Long data
  • Aggregated data
  • Metadata (Correct)

Correct: Metadata is data about data. Metadata practices can help analytics teams create consistent naming conventions and storage practices for their files.

3. A data analyst is working with a file from a customer satisfaction survey. The survey was sent to anyone who became a customer between April and June, 2020. Which of the following is an effective name for the file?

  • April_May_June_2020_Responses_to_New_Customer_Survey_ANALYSISDATA_928310
  • NewCustomerSurvey_2020-6-20_V03 (Correct)
  • Survey_Responses
  • Apr-June2020_CustSurvey_V

Correct: NewCustomerSurvey_2020-6-20_V03 is an effective file name because it is an appropriate length and references the project name, creation date, and version.

4. Foldering may be used by data analysts to organize folders into what?

  • Tables
  • Versions
  • Databases
  • Subfolders (Correct)

Correct: Foldering may be used by data analysts to organize folders into subfolders.

5. Data analysts use archiving to copy and keep backups of important files. These backups are used if original files are lost.

  • True
  • False (Correct)

Correct: Data analysts use archiving to separate current from past work. This involves moving files from completed projects to a separate location.

6. Data analysts create hierarchies to organize their folders. They do this by structuring folders by specific topics at the top, then more broadly below.

  • True
  • False (Correct)

Correct: Data analysts create hierarchies to organize their folders. They do this by structuring folders with broad topics at the top, then more specific topics below.

7. A data analyst wants to ensure only people on their analytics team can access, edit, and download a spreadsheet. They can use which of the following tools? Select all that apply.

  • Filtering
  • Sharing permissions (Correct)
  • Encryption (Correct)
  • Templates

Correct: To control who can access or edit a spreadsheet, data analysts use encryption and sharing permissions.

8. To reduce clutter, a data analyst hides cells that contain long, complex formulas. To view the formulas again, the analyst will need to adjust the spreadsheet sharing or encryption settings.

  • True
  • False (Correct)

Correct: Hidden cells can be easily unhidden using the unhide feature. Hiding does not protect data.

9. Data analysts use a process called encryption to organize folders into subfolders.

  • True
  • False (Correct)

Correct: Data analysts use foldering to organize folders into subfolders.

10. A data analyst completes a project. They move project files to another location to keep them separate from their current work. This is an example of what process?

  • Renaming files
  • Duplicating files
  • Destroying files
  • Archiving files (Correct)

Correct: Moving project files to another location to keep them separate from their current work is an example of archiving files.

11. A data analyst wants to share spreadsheet tab A with their team. They’re still working with tabs B and C, and they don’t want their team members to access them yet. Hiding tabs B and C will protect them from being accessed.

  • True
  • False (Correct)

Correct: Hiding tabs B and C will not protect them from being accessed.

12. A data analytics team labels its files to indicate their content, creation date, and version number. The team is using what data organization tool?

  • File-naming attributes
  • File-naming references
  • File-naming conventions (Correct)
  • File-naming verifications

Correct: The team is using file-naming conventions, which are consistent guidelines that describe the content, creation date, or version of a file.

13. To align file naming and storage practices, it’s useful to develop metadata practices with your data analytics team.

  • True (Correct)
  • False

Correct: To align file naming and storage practices, it’s useful to develop metadata practices with your data analytics team.

14. Data analysts use naming conventions to help them identify or locate a file. Which of the following is an example of an effective file name?

  • Elem_9
  • Sept_ElemtaryStudents_V1
  • Elementary_Students_20090221_V03 (Correct)
  • ElementarySchoolStudents_EnrollingSeptember2021_PlusRisingMiddleSchool_FJPSKVND

Correct: Elementary_Students_20090221_V03 is an effective file name because it is an appropriate length and references the project name, creation date, and version.

15. Data analysts use archiving to separate current from past work. What does this process involve?

  • Using secure data-erase software to destroy old files
  • Reviewing current data files to confirm they’ve been cleaned
  • Reorganizing and renaming current files
  • Moving files from completed projects to another location (Correct)

Correct: Archiving involves moving files from completed projects to a separate location.

16. Fill in the blank: Data analysts create _____ to structure their folders.

  • sequences
  • ladders
  • hierarchies (Correct)
  • scales

Correct: Data analysts create hierarchies to structure their folders.

17. Using encryption to protect data is an example of what?

  • Data validation
  • Data integrity
  • Data ethics
  • Data security (Correct)

Correct: Using encryption to protect data is an example of data security.

18. What process do data analysts use to keep project-related files together and organize them into subfolders?

  • Naming
  • Foldering (Correct)
  • Editing
  • Encrypting

Correct: Data analysts use foldering to keep project-related files together and organize them into subfolders.

19. A data analyst creates a spreadsheet with five tabs. They want to share the data in tabs 1-4 with a client. Tab 5 contains private information about other clients. Which of the following tactics will enable them to keep tab 5 private? Select all that apply.

  • Rename tab 5 to include the word “private” then share the spreadsheet with the client.
  • Hide tab 5, then share the spreadsheet with the client.
  • Make a copy of the spreadsheet, delete tab 5, then share the new file with the client. (Correct)
  • Copy tabs 1-4 into a separate spreadsheet, then share the new file with the client. (Correct)

Correct: Copying tabs 1-4 into a separate spreadsheet, then sharing the new file with the client will keep tab 5 private. In addition, making a copy of the spreadsheet, deleting tab 5, then sharing the new file with the client will keep tab 5 private.

20. What aspects of a file do file-naming conventions typically describe? Select all that apply.

  • Collaborators
  • Creation date (CORRECT)
  • Version number (CORRECT)
  • Content (CORRECT)

Correct: File-naming conventions describe a file’s content, creation date, and version number.

21. To align file naming and storage practices, it’s useful to develop metadata practices with your data analytics team.

  • True (CORRECT)
  • False

Correct: To align file naming and storage practices, it’s useful to develop metadata practices with your data analytics team.

22. A data analyst creates a file that lists people who donated to their organization’s fund drive. An effective name for the file is FundDriveDonors_20210216_V01.

  • True (CORRECT)
  • False

Correct: FundDriveDonors_20210216_V03 is an effective file name because it is an appropriate length and references the project name, creation date, version.

23. Data analysts create hierarchies to organize their folders. How are folder hierarchies structured?

  • Broad topics at the left, then more specific topics at the right
  • Broad topics at the top, then more specific topics below (CORRECT)
  • Broad topics at the right, then more specific topics at the left
  • Specific topics at the top, then more broad topics below

Correct: Folder hierarchies are structured with broad topics at the top, then more specific topics below.

24. A data analyst adds sharing permissions to limit who can edit the data contained within a file. This is an example of what?

  • Data validation
  • Data ethics
  • Data security (CORRECT)
  • Data integrity

Correct: A data analyst adds sharing permissions to limit who can edit the data contained within a file. This is an example of data security.

25. To reduce clutter, a data analyst hides cells that contain long, complex formulas. To view the formulas again, the analyst will need to adjust the spreadsheet sharing or encryption settings.

  • True
  • False (CORRECT)

Correct: Hidden cells can be easily unhidden using the unhide feature. Hiding does not protect data.

26. Fill in the blank: File-naming conventions are _____ that describe a file’s content, creation date, or version.

  • common verifications
  • frequent suggestions
  • consistent guidelines (CORRECT)
  • general attributes

Correct: File-naming conventions are consistent guidelines that describe a file’s content, creation date, or version.

27. Fill in the blank: A data analytics team uses _____ to indicate consistent naming conventions for a project. This is an example of using data about data.

  • classifications
  • version control
  • metadata (CORRECT)
  • folder hierarchies

Correct: A data analytics team uses metadata to indicate consistent naming conventions for a project. This is an example of using data about data.

28. Data analysts use a process called encryption to organize folders into subfolders.

  • True
  • False (CORRECT)

Correct!

Organizing and Protecting Your Data CONCLUSION

Good organization skills are essential for data analysts. In this part of the course, you’ll learn best practices for organizing data and keeping it secure. You’ll also learn how analysts use file naming conventions to help them keep their work organized. Join the learning experience in Coursera today to get started on your journey to becoming a data analyst.