Google Data Analytics Capstone

Course 8 – Google Data Analytics Capstone: Complete a Case Study Quiz Answers

Week 1: Learn About Capstone Basics


Coursera Answers Study Guide

Enroll in Coursera Google Data Analytics

Learn About Capstone Basics INTRODUCTION

The Coursera Google Data Analytics Professional Certificate program includes a capstone project as part of its curriculum. This project serves as the crowning achievement and provides an opportunity to demonstrate your expertise in data analytics.

It is designed to test your understanding of concepts taught throughout the course, such as gathering and cleaning data, using SQL, visualizing data with Tableau, applying machine learning algorithms and more. You will have the chance to develop real-world projects that are based on authentic industry scenarios, allowing employers to gain insight into your skills and capabilities. Additionally, you can use these case studies in portfolio presentations or job interviews within the data analytics field.

Learning Objectives

  • Identify the key features and attributes of a completed case study
  • Differentiate between a capstone, case study, and a portfolio


1. Fill in the blank: A _____ is a collection of case studies that you can share with potential employers.

  • Portfolio (Correct)
  • personal website
  • problem statement
  • capstone

Correct: A portfolio is a collection of case studies that you can share with potential employers.

2. Which of the following are important strategies when completing a case study? Select all that apply.

  • Answer the question being asked (Correct)
  • Use a programming language
  • Document the steps you’ve taken to reach your conclusion (Correct)
  • Communicate the assumptions you made about the data (Correct)

Correct: When completing a case study, it’s important to answer the question being asked. It’s also important to communicate the steps you’ve taken to reach your conclusion and the assumptions you made about the data.

3. To successfully complete a case study, your answer to the question the case study asks has to be perfect.

  • True
  • False (Correct)

Correct: To successfully complete a case study, your answer to the question the case study asks does not have to be perfect. It’s more important to show off your thought process so that the interviewers can understand how you approach the problem.

4. Which of the following are qualities of the best portfolios for a junior data analyst? Select all that apply.

  • Large
  • Unique (Correct)
  • Simple (Correct)
  • Personal (Correct)

Correct: The best portfolios are personal, unique, and simple. Your portfolio’s a chance to show people who you are and what you’re interested in. You want to keep your portfolio pretty simple, and focus on your skills as a data analyst.

5. Which of the following are places where you can store and share your portfolio? Select all that apply.

  • Kaggle (Correct)
  • RStudio
  • GitHub (Correct)
  • Tableau (Correct)

Correct: Portfolios can be stored and shared on public websites, including Github, Kaggle and Tableau, or on your personal website.

Learn About Capstone Basics CONCLUSION

A capstone project is a crowning achievement, signifying the successful completion of a course of study. In this part of thecourse, you’ll be introduced to capstone projects, case studies, and portfolios, as well as how they help employers better understand your skills and capabilities.

You’ll also have an opportunity to explore online portfolios of real data analysts. These examples will give you a sense of the range and depth of content that should be included in your own portfolio. If you’re ready to start building your professional brand, join the learning experience in Coursera today.

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