Google Data Analytics Capstone: Complete a Case Study Course Syllabus

Overview: This capstone course is designed to help you apply your data analytics skills to a real-world scenario, build a professional portfolio, and prepare for job interviews. The course spans approximately 10 hours and is divided into four flexible modules, allowing you to focus on building, showcasing, or advancing your career with your completed work. You’ll engage with hands-on case studies, AI-powered analytics tools, and career-readiness resources from Google to become interview-ready as a data analyst.

Module 1: Learn About Capstone Basics

Estimated time: 2 hours

• Introduction to capstone projects and their purpose
• Understanding case studies in data analytics
• Building a portfolio as a data analyst
• Overview of the data analysis process: question, prepare, process, analyze, visualize, act

Module 2: Optional – Build Your Portfolio

Estimated time: 3 hours

• Selecting a business scenario or dataset for analysis
• Applying the data analysis process to your chosen case
• Using AI tools to assist in data cleaning and analysis
• Hosting and sharing your case study online

Module 3: Optional – Use Your Portfolio

Estimated time: 1 hour

• Practicing how to present your case study
• Creating an effective elevator pitch for job interviews
• Discussing analytical decisions and insights confidently

Module 4: Put Your Certificate to Work

Estimated time: 3 hours

• Claiming and displaying your certificate badge
• Accessing career resources: Big Interview and Byteboard
• Exploring job search benefits and networking opportunities

Module 5: Final Project

Estimated time: 1 hour

• Completing a real-world data analysis case study
• Documenting your process and key findings
• Submitting your portfolio-ready project for review

Prerequisites

• Familiarity with basic data analytics concepts
• Completion of the Google Data Analytics Professional Certificate (recommended)
• Basic understanding of data visualization and spreadsheet tools

What You'll Be Able to Do After

• Identify the key features of a successful data analytics case study
• Apply the full data analysis process to real-world datasets
• Use AI-powered tools to streamline common analyst tasks
• Showcase your work in a professional portfolio to impress recruiters
• Articulate your analytical thinking in job interviews using portfolio examples