Course 1 – Foundations of Data Science

Module 3: Your Career as a Data Professional

GOOGLE ADVANCED DATA ANALYTICS PROFESSIONAL CERTIFICATE

Complete Coursera Study Guide

INTRODUCTION – Your Career as a Data Professional

You’ll identify the skills data professionals use to analyze data. You’ll also explore how data professionals collaborate with teammates.

Learning Objectives

  • Distinguish existing career resources to prepare for job search
  • Identify the ethical implications of data-focused work; understand the responsibilities of a data professional
  • Describe the role of DA within an organization and the typical work that data professionals perform; recognize high demand skills in data professional roles across industries

PRACTICE QUIZ: ACTIVITY: WRITE PROMPTS FOR BARD

1. Did you complete this activity?

  • Yes (CORRECT)
  • No

Correct: Thank you for completing this activity! Continually learning how to use new tools such as conversational AI is an important part of being a data professional. Review the quiz question feedback to find out how you did.

2. What tasks can LLMs help data professionals perform? Select all that apply.

  • Lead a data team
  • Exploratory data analysis (EDA) (CORRECT)
  • Building and evaluating models (CORRECT)
  • Data cleaning (CORRECT)

Correct: LLMs can help data professionals perform a number of essential tasks, including data cleaning, exploratory data analysis (EDA), and building and evaluating models.

3. What are best practices for writing prompts for LLMs? Select all that apply.

  • Ask vague questions
  • Provide context (CORRECT)
  • Be clear and concise in your instructions (CORRECT)
  • Include a description of Bard’s role (CORRECT)

Correct: Best practices for writing prompts for LLMs include being clear and concise in your instructions, providing context, and including a description of the LLM’s role.

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: TRAJECTORY OF THE FIELD

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

  • metrics
  • computer systems (CORRECT)
  • statistics
  • business intelligence tools

Correct: Artificial intelligence is the development of computer systems able to perform tasks that normally require human intelligence.

2. In what way is building diverse teams an effective method for countering human bias in data work? Select all that apply.

  • It eliminates outliers in the data.
  • It incorporates a wide range of perspectives. (CORRECT)
  • It yields more accurate project results. (CORRECT)
  • It promotes wider representation. (CORRECT)

Correct: To counter human bias, organizations build diverse teams. Incorporating a wide range of perspectives and worldviews promotes wider representation and yields more accurate data project results.

3. Data professionals can use AI to help them perform which of the following tasks? Select all that apply.

  • Use emotional intelligence to address the concerns of stakeholders.
  • Create predictive models to forecast future events. (CORRECT)
  • Analyze large datasets. (CORRECT)
  • Automate time-consuming tasks such as data cleaning. (CORRECT)

Correct: Data professionals can use AI to help them create predictive models to forecast future events, automate time-consuming tasks such as data cleaning, and analyze large datasets.

4. What tool can generate human-like text in response to a wide range of prompts and questions from data professionals?

  • Large language model (LLM) (CORRECT)
  • Database
  • Spreadsheet
  • Dashboard

Correct: A large language model (LLM) can generate human-like text in response to a wide range of prompts and questions from data professionals. An LLM is a type of AI algorithm that uses deep learning techniques to identify patterns in text and understand how different words and phrases relate to each other.

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QUIZ: MODULE 3 CHALLENGE

1. How would a data professional practice active listening?

  • Allow others to share their points of view before offering a response (CORRECT)
  • Only participate in discussions when asked a direct question
  • Brainstorm collaboratively
  • Proactively address feedback

Correct!

2. What is the main objective of data cleaning?

  • Identify improvement opportunities
  • Make data visualizations more readable
  • Safeguard an organization’s systems and tools
  • Remove anything that could cause an error during analysis (CORRECT)

Correct!

3. Which of the following are data engineer responsibilities? Select all that apply.

  • Perform research about data
  • Ensure the data ecosystem offers reliable results (CORRECT)
  • Manage infrastructure for data across the enterprise (CORRECT)
  • Make data accessible (CORRECT)

Correct!

4. Fill in the blank: Insights or _____ team managers supervise an organization’s analytical strategy.

  • Analytics (CORRECT)
  • visualization
  • operations
  • hardware

Correct!

5. Fill in the blank: Business intelligence engineers are responsible for organizing data and making it _____.

  • qualitative
  • private
  • accessible (CORRECT)
  • secure

Correct!

6. Which of the following statements accurately describes a RACI matrix? Select all that apply.

  • Someone who is labeled “accountable” actually performs the work and makes decisions that are directly related to completing a task.
  • The acronym RACI stands for responsible, accountable, consulted, and informed. (CORRECT)
  • Someone who is labeled “consulted” is typically a subject matter expert who offers input on a task. (CORRECT)
  • Someone who is labeled “informed” is kept aware of progress and the concerns of people working on a project. (CORRECT)

Correct!

7. A hiring supervisor considers whether a data team job candidate is committed to learning new skills. They want to hire someone who will continue to learn and grow as new technologies and regulations emerge. Which principle for data team building does this scenario describe?

  • Business Impact
  • Accountability
  • Adaptability (CORRECT)
  • Standardization

Correct!

8. What is the primary goal of active listening?

  • Achieve benchmarks
  • Select appropriate datasets
  • Maintain processes
  • Improve mutual understanding (CORRECT)

Correct!

9. What does a data professional do when cleaning data? Select all that apply.

  • Aggregate data
  • Govern data
  • Remove unwanted data (CORRECT)
  • Format data (CORRECT)

Correct!

10. Fill in the blank: Data engineers are responsible for managing _____ for data across the enterprise.

  • Dashboards
  • Infrastructure (CORRECT)
  • research
  • projects

Correct!

11. Which data professionals are responsible for supervising an organization’s analytical strategy?

  • Insights or analytics team managers (CORRECT)
  • Information technology professionals
  • Data warehousing specialists
  • Data security officers

Correct!

12. Fill in the blank: Business intelligence engineers are responsible for _____ data and making it accessible.

  • safeguarding
  • archiving
  • organizing (CORRECT)
  • creating

Correct!

13. A data professional establishes a procedure for documenting project notes, records, and metadata. Their objective is to add transparency and security to data teams and projects by examining and communicating about processes. Which of the principles for data team building does this scenario describe?

  • Business impact
  • Activation
  • Accountability (CORRECT)
  • Adaptability

Correct!

14. Fill in the blank: A data professional practices active listening when they allow others to _____ before offering a response.

  • share their points of view (CORRECT)
  • access supporting materials
  • collaborate with stakeholders
  • think critically

Correct!

15. What tasks are involved in data cleaning? Select all that apply.

  • Archiving datasets for later use
  • Eliminating structural errors and empty spaces (CORRECT)
  • Tagging and consolidating duplicates (CORRECT)
  • Removing irrelevant entries (CORRECT)

Correct!

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16. Fill in the blank: Business intelligence engineers are responsible for organizing data and making it _____.

  • secure
  • private
  • accessible (CORRECT)
  • qualitative

Correct!

17. Fill in the blank: Data engineers are responsible for making data _____.

  • insightful
  • anonymized
  • accessible (CORRECT)
  • duplicative

Correct!

18. Which of the following are the responsibilities of insights or analytics team managers? Select all that apply.

  • Copy data from one computer to another
  • Effectively store data
  • Manage multiple groups (CORRECT)
  • Supervise an organization’s analytical strategy (CORRECT)

Correct!

19. What type of data professional is responsible for organizing information and making it accessible?

  • Digital data analyst
  • Project manager
  • Business intelligence engineer (CORRECT)
  • Data scientist

Correct!

20. What are the most common activities performed by technical data professionals? Select all that apply.

  • Project management
  • Machine learning (CORRECT)
  • Statistical inference (CORRECT)
  • Data analytics (CORRECT)

Correct: The main activities performed by technical data professionals include data analytics, machine learning, and statistical inference. These activities allow data professionals to support organizations by uncovering the business value of data.