Course 1 – Foundations of Data Science

Module 2: The Impact of Data Science

GOOGLE ADVANCED DATA ANALYTICS PROFESSIONAL CERTIFICATE

Complete Coursera Study Guide

INTRODUCTION The Impact of Data Science

Now that you’re more familiar with the history of data science, you’re ready to explore today’s data career space. You’ll learn more about how data professionals manage and analyze their data, as well as how data-driven insights can help organizations.

Learning Objectives

  • Determine the priorities of data stewardship and ethical concerns for data analytics professionals
  • Classify distinctions between the technical and strategic skills that span different careers in the data career space
  • Define the types of organizations that employ data professionals; describe how data professionals make a positive impact across different industries

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: DATA-DRIVEN CAREERS

1. What type of data professionals are business intelligence professionals and technical project managers?

  • Information technology
  • Strategic (CORRECT)
  • Governance
  • Technical

Correct: Business intelligence professionals and technical project managers are strategic data professionals. In their roles, strategic data professionals maximize information to guide how a business works.

2. Fill in the blank: Expert _____ explores vast and complex datasets in order to identify worthwhile business initiatives.

  • data analysts (CORRECT)
  • project managers
  • data governance professionals
  • stakeholders

Correct: Expert data analysts explore vast and complex datasets in order to identify worthwhile business initiatives. In this highly technical role, data analysts help ensure that an organization’s data science efforts are directed as efficiently as possible.

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: DATA CAREER SKILLS

1. What are traits related to communication and relationship-building?

  • Investigative skills
  • Career skills
  • Practical skills
  • Interpersonal skills (CORRECT)

Correct: Interpersonal skills are traits related to communication and relationship-building.

2. Fill in the blank: A data professional practices _____ when they allow others to share their points of view before offering a response.

  • fine-tuning
  • self-control
  • active listening (CORRECT)
  • critical thinking

Correct: A data professional practices active listening when they allow others to share their points of view before offering a response. Active listening helps to improve mutual understanding.

3. What is the process of formatting data and removing unwanted material?

  • Data aggregation
  • Data governance
  • Data cleaning (CORRECT)
  • Data validation

Correct: Data cleaning is the process of formatting data and removing unwanted material.

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: WORK IN THE FIELD

1. What type of data professional is responsible for ensuring an organization’s data ecosystem offers reliable results?

  • Data analyst
  • Data warehousing professional
  • Data governance professional
  • Data engineer (CORRECT)

Correct: A data engineer is responsible for ensuring an organization’s data ecosystem offers reliable results. They also manage infrastructure for data across the enterprise and ensure that the data is accessible.

2. Fill in the blank: Analytics or _____ team managers supervise the analytical strategy of an organization.

  • visualization
  • operations
  • insights (CORRECT)
  • hardware

Correct: Analytics or insights team managers supervise the analytical strategy of an organization. They are often responsible for managing customers and stakeholders and serve a hybrid role, operating as both data scientists and decision-makers.

3. What is a key part of the role of a business intelligence professional?

  • Organize information and make it accessible (CORRECT)
  • Store data
  • Use data to make predictions about the future
  • Give data a reliable infrastructure

Correct: Business intelligence professionals organize information and make it accessible. They do this by synthesizing data, building dashboards, and preparing reports.

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QUIZ: MODULE 2 CHALLENGE

1. Which of the following are examples of technical data professional roles? Select all that apply.

  • Business intelligence professionals
  • Machine learning engineers (CORRECT)
  • Expert data analysts (CORRECT)
  • Statisticians (CORRECT)

Correct!

2. A data professional is at an event collaborating with programmers and other data professionals to create a solution to an existing problem using technology. What type of event are they attending?

  • Hackathon (CORRECT)
  • Expo
  • Industry conference
  • Networking luncheon

Correct!

3. What is the term for data that can be used to determine an individual’s identity, either by direct or indirect means?

  • Personally identifiable information (CORRECT)
  • Identity analytics
  • Digital identifier
  • Personal data map

Correct!

4. Fill in the blank: A business _____ data by collecting information from a significant number of users. This increases the likelihood that the data will be representative of the population as a whole.

  • Aggregates (CORRECT)
  • assigns
  • averages
  • annotates

Correct!

5. A team of data professionals discusses the potential of their personal backgrounds and beliefs affecting their data findings. They establish processes to ensure that they interpret and communicate sensitive information impartially. What does this scenario describe?

  • Protecting customer or user privacy
  • Preventing data security breaches
  • Generating data from communication
  • Avoiding subtle biases in data work (CORRECT)

Correct!

6. What term describes the development of computer systems that are able to perform tasks that normally require human reasoning or judgment?

  • Design thinking
  • Artificial intelligence (CORRECT)
  • Coding
  • Programming

Correct!

7. Fill in the blank: Data stewardship is the responsibility of _____.

  • only business intelligence professionals
  • only information technology professionals
  • only project managers
  • all data professionals (CORRECT)

Correct!

8. A data professional considers ways that their personal beliefs may inadvertently affect their work. They establish processes to ensure they collect and communicate sensitive information impartially. What does this scenario describe?

  • Generating data from communication
  • Establishing data security procedures
  • Protecting customer or user privacy
  • Avoiding subtle biases in data work (CORRECT)

Correct!

9. What are some typical responsibilities of technical data professionals? Select all that apply.

  • Create business intelligence dashboards
  • Build models and make predictions (CORRECT)
  • Transform raw data into useful information (CORRECT)
  • Explore datasets (CORRECT)

Correct!

10. Fill in the blank: A good _____ is a segment of a population that is representative of the entire population.

  • variety
  • sample (CORRECT)
  • cluster
  • observation

Correct!

11. What are some ways in which a data professional can promote their company’s data stewardship? Select all that apply.

  • Rely solely on the experts in information technology to govern data.
  • Stay aware of human bias. (CORRECT)
  • Work in a way that is socially beneficial and inclusive. (CORRECT)
  • Apply scientific and ethical principles to their work. (CORRECT)

Correct!

12. Fill in the blank: Data professionals come together during _____ to create a solution to an existing problem using technology.

  • networking luncheons
  • expos
  • hackathons (CORRECT)
  • industry conferences

Correct!

13. What are some examples of personally identifiable information? Select all that apply.

  • Company names
  • National identification numbers (CORRECT)
  • Biometric records (CORRECT)
  • Usernames (CORRECT)

Correct!

14. What are the key benefits of aggregate information? Select all that apply.

  • Eliminate outliers from datasets
  • Give people more control over their data (CORRECT)
  • Protect individuals (CORRECT)
  • Increase the likelihood that the data represents the population as a whole (CORRECT)

Correct!

15. Fill in the blank: A good sample is a segment of a population that is _____ the entire population.

  • representative of (CORRECT)
  • atypical of
  • less diverse than
  • more diverse than

Correct!

16. What do data professionals do during a hackathon?

  • Vote on the best new data analysis software
  • Collaborate to solve a problem using technology (CORRECT)
  • Install the latest information technology hardware
  • Gain unauthorized access to computer systems

Correct!

17. Fill in the blank: Artificial intelligence is the development of computer systems that are able to perform tasks that normally require _____ intelligence.

  • business
  • human (CORRECT)
  • market
  • machine

Correct!

18. At a business, who is responsible for ensuring socially beneficial and inclusive practices, applying scientific and ethical principles, and staying aware of possible bias?

  • Only business intelligence professionals
  • All data professionals (CORRECT)
  • Only project managers
  • Only information technology professionals

Correct!

19. A data manager brainstorms ways to ensure that the experiences and worldviews of their team members do not affect data team projects. They establish processes for impartially analyzing and communicating sensitive information. What does this scenario describe?

  • Establishing data security procedures
  • Generating data from communication
  • Protecting customer or user privacy
  • Avoiding subtle biases in data work (CORRECT)

Correct!

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20. Fill in the blank: Artificial intelligence is the development of _____ that are able to perform tasks that normally require human intelligence.

  • dashboards
  • databases
  • hardware tools
  • computer systems (CORRECT)

Correct!

21. Fill in the blank: A national identification number is an example of _____, which may permit someone’s identity to be inferred, either by direct or indirect means.

  • mapped data
  • digital identification
  • personally identifiable information (CORRECT)
  • identity analytics

Correct!

22. What type of data professionals include expert data analysts, machine learning engineers, and statisticians?

  • Data governance professionals
  • Strategic data professionals
  • Technical data professionals (CORRECT)
  • Information technology professionals

Correct: Technical data professionals are expert data analysts, machine learning engineers, and statisticians.

23. What type of data is available to the public for free and includes guidance for navigating the datasets and acknowledging the source?

  • Open data (CORRECT)
  • Confidential data
  • Restricted data
  • Internal data

Correct: Open data is available to the public for free and includes guidance for navigating the datasets and acknowledging the source.

24. Fill in the blank: A person’s background, experiences, and beliefs lead to _____, which may negatively affect data work.

  • Bias (CORRECT)
  • impartiality
  • fairness
  • objectivity

Correct: A person’s background, experiences, and beliefs lead to bias, which may negatively affect data work. Bias is a conscious or subconscious preference in favor of or against a person, group of people, or thing.