What will you learn in Google Data Analytics Capstone: Complete a Case Study Course
Identify the key features and attributes of a completed case study.
Apply the data analysis process—questioning, preparing, processing, analyzing, visualizing, and acting—on a real-world dataset.
Discuss how to use case studies and portfolios to impress recruiters and potential employers.
Gain AI-powered data analytics skills from Google experts to speed up common analyst tasks.
Program Overview
Module 1: Learn About Capstone Basics
⏳ 2 hours
- Introduction to capstone projects, case studies, and portfolios.
- Includes: 3 videos; 6 readings; 2 assignments; 1 plugin.
Module 2: Optional – Build Your Portfolio
⏳ 3 hours
- Choose a provided business scenario or your own dataset; learn to host and share your case study online.
- Includes: 3 videos; 9 readings; 1 assignment; 1 plugin.
Module 3: Optional – Use Your Portfolio
⏳ 1 hour
- Practice discussing your portfolio in interview scenarios and crafting an elevator pitch.
- Includes: 6 videos; 4 readings; 1 assignment.
Module 4: Put Your Certificate to Work
⏳ 3 hours
- Learn to claim and display your certificate badge, access career resources (Big Interview, Byteboard), and explore job-search benefits.
- Includes: 11 videos; 8 readings; 2 assignments; 1 plugin.
Get certificate
Job Outlook
Roles: Entry-level Data Analyst, Junior Data Analyst, Analytics Consultant.
Demand: Employers across finance, healthcare, tech, and consulting use case studies to vet analytical skills.
Salaries: Entry-level data analysts in the U.S. can expect $52,000–$78,000 per year.
Specification: Google Data Analytics Capstone: Complete a Case Study
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FAQs
- Prior experience helps but is not strictly required.
- Designed as a culmination of beginner-level data analytics learning.
- Focuses on applying analytical processes to a real-world case study.
- Includes portfolio-building exercises for practical experience.
- Ideal for learners wanting hands-on, interview-ready projects.
- You can select a dataset from the course or your own data.
- Provides guidance on preparing and processing your data.
- Supports portfolio-ready work for professional use.
- Helps showcase initiative and creativity to employers.
- Ensures practical application of analytical skills.
- Prepares for roles like Entry-level Data Analyst or Junior Data Analyst.
- Includes portfolio-building and AI-assisted analysis tasks.
- Hands-on case study simulates employer assessments.
- Provides career resources like mock interviews and job-search tips.
- Enhances resume and portfolio credibility for recruiters.
- Labs are interactive but optional, focusing on practical skills.
- No advanced SQL, R, or Python required.
- AI tools assist in data analysis tasks to streamline learning.
- Focus on visualization, insight generation, and portfolio creation.
- Suitable for learners with basic data analytics background.
- Entirely self-paced with lifetime access.
- Modules range from 1–3 hours each for flexibility.
- Optional exercises allow focus on portfolio-building.
- Ideal for working professionals or students balancing multiple commitments.
- Provides a structured workflow for completing a full case study.
