This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete an optional case study, which will help prepare you for the data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn other useful job hunt skills through videos with common interview questions and responses, helpful materials to build a portfolio online, and more. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Learn the benefits and uses of case studies and portfolios in the job search. - Explore real world job interview scenarios and common interview questions. - Discover how case studies can be a part of the job interview process. - Examine and consider different case study scenarios. - Have the chance to complete your own case study for your portfolio. Want to solve a puzzle from Google?
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- Learn about capstone basics
- A capstone is a crowning achievement. In this part of the course, 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.
- Optional: Building your portfolio
- In this part of the course, you’ll get an overview of two possible tracks to complete your case study. You can use a dataset from one of the business cases provided or search for a public dataset and develop a business case for an area of personal interest. In addition, you'll be introduced to several platforms for hosting your completed case study.
- Optional: Using your portfolio
- Your portfolio is meant to be seen and explored. In this part of the course, you’ll learn how to discuss your portfolio and highlight specific skills in interview scenarios. You’ll also create and practice an elevator pitch for your case study. Finally, you’ll discover how to position yourself as a top applicant for data analyst jobs with useful and practical interview tips.
- Putting your certificate to work
- Earning your Google Data Analytics Certificate is a badge of honor. It's also a real badge. In this part of the course, you'll learn how to claim your certificate badge and display it in your LinkedIn profile. You'll also be introduced to job search benefits that you can claim as a certificate holder, including access to the Big Interview platform and Byteboard interviews.
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After taking the Google Data Analytics Professional Certificate course, I finally finished my first case study (the capstone project for the course)! I used SQL and Excel for the project and published on Medium. If you're interested you can find it here - //medium.com/@dakotasmithanalyst/data-analytics-case-study-bellabeat-c6e60bf1d179
I'm open to feedback (especially since I can make edits and changes). Also, if you have any questions, feel free to ask!
This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete an optional case study, which will help prepare you for the data analytics job hunt. Case studies are commonly used by employers to assess analytical skills.
For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn other useful job hunt skills through videos with common interview questions and responses, helpful materials to build a portfolio online, and more.
Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
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Test your knowledge on professional case studies
Q1. Fill in the blank: A _____ is a collection of case studies that you can share with potential employers.
- personal website
- portfolio
- problem statement
- capstone
Q2. Which of the following are important strategies when completing a case study? Select all that apply.
- Document the steps you’ve taken to reach your conclusion
- Answer the question being asked
- Use a programming language
- Communicate the assumptions you made about the data
Q3. To successfully complete a case study, your answer to the question the case study asks has to be perfect.
Q4. Which of the following are qualities of the best portfolios for a junior data analyst? Select all that apply.
- Large
- Simple
- Personal
- Unique
Q5. Which of the following are places where you can store and share your portfolio? Select all that apply.
- RStudio
- GitHub
- Tableau
- Kaggle
Test your knowledge on completing a case study
Q1. For the following six questions, consider your detailed case study report and the steps of the data analysis process that you followed when creating it: ask, prepare, process, analyze, share, and act.
In the ask phase of your analysis, you wrote a clear statement of the business task. According to the Case Study Roadmap, this statement should 1) identify the specific problem you are trying to solve, and 2) consider key stakeholders. Take a moment to review your statement now. In what ways could you make it more effective at meeting these two requirements?
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Q2. In the prepare phase of your analysis, you described the data sources you used. According to the Case Study Roadmap, this description should include where the data is located and how it is organized. It should also consider issues with bias or credibility, problems with the data, and how you verified its integrity. Finally, your description should explain how the data helped you answer your questions. Take a moment to review your description now. What steps could you take to make it even more descriptive?
- Comment Correct Answer Below
Q3. In the process phase of your analysis, you documented your data cleaning and manipulation. According to the Case Study Roadmap, this documentation should include a list of the tools you used and why you selected them. In addition, it was an opportunity to explain how you ensured your data’s integrity and confirmed that it was clean and ready to analyze. Take a moment to review your documentation now. How can you improve it in order to describe your cleaning and manipulation techniques even more thoroughly?
- Comment Correct Answer Below
Q4. In the analyze phase of your analysis, you wrote a summary of your analysis. According to the Case Study Roadmap, this summary should discuss organizing and formatting your data. In addition, it should detail any surprises, trends, or relationships you discovered. Lastly, you should summarize how these insights helped you answer your questions. Take a moment to review your summary now. How can you improve it in order to highlight your analysis process in a more compelling way?
- Comment Correct Answer Below
Q5.In the share phase of your analysis, you created data visualizations to support your key findings. According to the Case Study Roadmap, these visualizations should reflect your findings, data story, and audience — while keeping accessibility top of mind. Take a moment to review your visualizations now. Which one are you most proud of? And how can you apply your experiences during this course in order to improve the others?
- Comment Correct Answer Below
Q6. In the act phase of your analysis, you provided recommendations based on the final conclusion from your analysis. You were also asked what additional data you could analyze to enhance your work. Take a moment to consider this question again now. Respond with at least two ideas that you did not include in your original report.
- Comment Correct Answer Below
Test your knowledge on effective interview techniques
Q1. An elevator pitch gives potential employers a quick, high-level understanding of your professional experience. What are the key considerations when creating an elevator pitch? Select all that apply.
- Focus on your process over the results
- Consider your audience’s interests
- Make sure it’s short enough that it can be explained to someone during an elevator ride
- Keep it fresh by not over-practicing it
Q2. What are the key purposes of discussing a case study during an interview? Select all that apply.
- Negotiate a fair salary for the position
- Recommend real-world solutions based on your own work
- Ask your potential employer questions about the company
- Outline your thinking about a data analytics scenario for your interviewer
Q3. If an interviewer says, “Tell me about yourself,” it’s important to limit your response to topics related to data analytics.
Q4. During an interview, you will likely respond to technical questions, practical knowledge questions, and questions about your personal experiences. What strategies can help you prepare to respond effectively? Select all that apply.
- Copy real-world examples from more experienced professionals to include in your responses
- Practice your responses until they feel natural and unrehearsed
- Brainstorm examples from your own experiences that support your answers
- Write down your answers to common questions
Q5. Imagine that an interviewer asks, “How do you maintain data integrity?” What topics does this question give you the opportunity to discuss? Select all that apply.
- The importance of reliability and accuracy in good data analysis
- The impact that issues with your data can have on business decisions
- The methods you would use for error checking and data validation
- The reasons you strongly preference SQL over spreadsheets for data cleaning
<< Previous Course Quiz Answers
Data Analysis with R Programming
All Course Quiz Answers of Google Data Analytics Professional Certificate
Course 01: Foundations: Data, Data, Everywhere
Course 02: Ask Questions to Make Data-Driven Decisions
Course 03: Prepare Data for Exploration
Course 04: Process Data from Dirty to Clean
Course 05: Analyze Data to Answer Questions
Course 06: Share Data Through the Art of Visualization
Course 07: Data Analysis with R Programming
Course 08: Google Data Analytics Capstone: Complete a Case Study
Google Data Analytics Capstone: Complete a Case Study Course Review:In our experience, we suggest you enroll in the Google Data Analytics Capstone: Complete a Case Study Course and gain some new skills from Professionals completely free and we assure you will be worth it.
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This Course is a part of the Google Data Analytics Professional Certificate
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This course is intended for audiences of all experiences who are interested in learning about Data Analytics in a business context; there are no prerequisite courses.
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