What will you learn in Google Advanced Data Analytics Capstone Course
Examine data to identify patterns and trends.
Build models using machine learning techniques.
Create data visualizations to communicate insights.
Explore career resources and incorporate projects into your portfolio.
Program Overview
Module 1: Capstone Project
⏳ 4 hours
- Overview of the optional capstone and tips for success
- Incorporating your project into a professional portfolio
Module 2: AI in Advanced Data Analytics
⏳ 1 hour
- Applying generative AI to clean, organize, and visualize data
Module 3: Put Your Certificate to Work
⏳ 0.5 hours
Final steps to earn your badge and explore professional opportunities
Get certificate
Job Outlook
- Learners who complete this capstone (and the full certificate) are prepared for roles such as Advanced Data Analyst and Entry-Level Data Scientist.
- Advanced data analytics positions command a median salary of $134,000 for professionals with 0–5 years of experience, with 84,000 open jobs in the field in the U.S. alone.
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Related Courses
Introduction to Data Analytics for Business Course – Learn how to analyze business data, interpret insights, and make data-driven decisions to support organizational goals.
Introduction to Data Analytics Course – Build foundational analytics skills, including data visualization, statistical analysis, and hands-on project experience.
Google Advanced Data Analytics Professional Certificate Course – Master advanced analytics techniques, predictive modeling, and real-world applications using Google Cloud tools.
Related Reading
Gain deeper insight into managing and leveraging data effectively:
What Is Data Management? – Understand how proper data management practices ensure accurate, secure, and optimized use of data for analytics and decision-making.
Specification: Google Advanced Data Analytics Capstone Course
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FAQs
- Best taken after completing the full certificate sequence.
- Builds on knowledge of statistics, SQL, and machine learning.
- Assumes experience with data cleaning and visualization.
- Without prerequisites, learners may find it challenging.
- Ideal as a culminating project to showcase your skills.
- Projects are designed to mimic industry-level case studies.
- Includes feedback-driven, portfolio-ready outputs.
- Integrates generative AI for data cleaning and visualization.
- Uses practical business problems, not just academic datasets.
- Helps demonstrate applied skills to potential employers.
- Focuses on applying previously learned techniques.
- Reinforces advanced analytics and machine learning workflows.
- Encourages independent problem-solving.
- Limited new content; emphasis on synthesis and execution.
- Prepares you to translate knowledge into business-ready insights.
- A comprehensive data analysis from raw data to insights.
- Includes data cleaning, modeling, and visualization.
- Showcases machine learning applications in business context.
- Designed to be shared with recruiters or hiring managers.
- Adds tangible proof of advanced analytics competency.
- Prepares you for Advanced Data Analyst and Junior Data Scientist roles.
- Strengthens job applications with a polished case study.
- Helps signal expertise in AI-enhanced data workflows.
- Supports career advancement into higher-paying analytics positions.
- Complements your full Google Advanced Data Analytics Certificate.
