Google Data Analytics Capstone: Complete a Case Study

This course is part of Google Data Analytics Professional Certificate

Instructor: Google Career Certificates

Access provided by NIC x GCC 10

670,749 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

19,444 reviews

Beginner level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

99%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

19,444 reviews

Beginner level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

99%

Most learners liked this course

What you'll learn

Identify the key features and attributes of a completed case study.
Apply the practices and procedures associated with the data analysis process to a given set of data.
Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.
Gain a competitive edge by learning AI skills from Google experts.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

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Build your Data Analysis expertise

This course is part of the Google Data Analytics Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Google

There are 4 modules in this course

This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete a case study, which will help prepare you for your 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 about useful job hunting skills, common interview questions and responses, and materials to build a portfolio online. 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, learners 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. - Learn AI skills from Google experts to help complete data analytics tasks.

A capstone is a crowning achievement. In this part of the course, you’ll be introduced to capstone projects, case studies, and portfolios, and will learn how they help employers better understand your skills and capabilities. You’ll also have an opportunity to explore the online portfolios of real data analysts.

What's included

3 videos6 readings2 assignments

3 videos Total 14 minutes

Introducing the capstone project 5 minutes
Rishie: What employers look for in data analysts 3 minutes
Best-in-class 7 minutes

6 readings Total 96 minutes

Course 8 overview 12 minutes
Helpful resources and tips 4 minutes
Explore portfolios 20 minutes
Your portfolio and case study checklist 20 minutes
Revisit career paths in data 20 minutes
Next steps 20 minutes

2 assignments Total 30 minutes

Data journal: Prepare for your project 20 minutes
Test your knowledge on professional case studies 10 minutes

In this part of the course, you’ll review 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 to 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.

What's included

3 videos9 readings1 assignment1 plugin

3 videos Total 7 minutes

Get started with your case study 3 minutes
Unlimited potential with analytics case studies 1 minute
Share your portfolio 3 minutes

9 readings Total 134 minutes

Introduction to building your portfolio 10 minutes
Choose your case study track 20 minutes
Track A details 10 minutes
Case Study 1: How does a bike-share navigate speedy success? 20 minutes
Case Study 2: How can a wellness company play it smart? 20 minutes
Track B details 10 minutes
Case Study 3: Follow your own case study path 20 minutes
Resources to explore other case studies 20 minutes
Create your online portfolio 4 minutes

1 assignment Total 60 minutes

Hands-On Activity: Add your portfolio to Kaggle 60 minutes

1 plugin Total 10 minutes

Capstone roadmap 10 minutes

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.

What's included

6 videos4 readings1 assignment

6 videos Total 27 minutes

Discussing your portfolio 4 minutes
Scenario video: Introductions 7 minutes
Scenario video: Case study 6 minutes
Scenario video: Problem-solving 3 minutes
Scenario video: Negotiating terms 3 minutes
Nathan: VetNet and giving advice to vets 3 minutes

4 readings Total 70 minutes

Introduction to sharing your work 10 minutes
The interview process 20 minutes
Scenario video series introduction 20 minutes
Negotiate your contract 20 minutes

1 assignment Total 20 minutes

Self-Reflection: Polish your portfolio 20 minutes

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.

What's included

10 videos9 readings2 assignments1 plugin

10 videos Total 28 minutes

Myles: Driving impact with AI in the workplace 2 minutes
Boost your data analytics skills with AI 6 minutes
Clean and prepare data with help from AI 3 minutes
Organize data and build formulas using AI 5 minutes
Use AI to help you ask more effective questions 2 minutes
Create engaging data visualizations with AI 3 minutes
Introducing Google AI Essentials 1 minute
Congratulations on completing your Capstone Project! 1 minute
From all of us ... 1 minute
Explore professional opportunities 3 minutes

9 readings Total 90 minutes

Introduction to AI in Data Analytics 10 minutes
Use generative AI to work smarter and faster 8 minutes
Use AI to improve your Python code 8 minutes
Key takeaways from AI for Data Analytics 8 minutes
Take the next step with Google AI Essentials 20 minutes
Showcase your work 8 minutes
Claim your Google Data Analytics Certificate badge 4 minutes
Expand your data career expertise 20 minutes
Resources for Google Data Analytics Certificate graduates 4 minutes

2 assignments Total 47 minutes

Did you complete a case study? 2 minutes
Activity: Use generative AI to explore data visualizations 45 minutes

1 plugin Total 10 minutes

End-of-program survey 10 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings

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Google Career Certificates

Google

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Reviewed on Jan 12, 2024

Are you interested in Data Analytics?

Reviewed on Jul 16, 2023

Awesome course. Very suitable for entry-level data analysts like me. Make sure you continue learning to develop more data analytics skill, since this is a comprehensive and introductory course

Reviewed on Sep 3, 2024

This was such a beginner friendly course and helpful for those ready to explore the world of data. Loved the focus on ethics and accessibility throughout, which helps in 'humanising' tech and data!

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