This is the first course in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects.

Foundations of Data Science

Foundations of Data Science
This course is part of Google Advanced Data Analytics Professional Certificate

Instructor: Google Career Certificates
Access provided by ExxonMobil
307,185 already enrolled
3,861 reviews
What you'll learn
Understand common careers and industries that use advanced data analytics
Investigate the impact data analysis can have on decision-making
Explain how data professionals preserve data privacy and ethics
Develop a project plan considering roles and responsibilities of team members
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Build your Data Analysis expertise
- 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 5 modules in this course
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Chaitanya A.
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Reviewed on Feb 24, 2024
I have really got a fine refresher through this course. One of the basic idea of preparing PACE strategy document and understanding on RACI matrix was new for me. I recommend this course to every one.
Reviewed on Oct 15, 2025
I believe a focus on the planning phase should come after getting familiar with the technical parts, as I feel like that is context you are missing to fully understand how to plan a data project.
Reviewed on May 8, 2024
This course is more than just training a few tools. Rather, it helps to have a proper view of the principles of managing and advancing a data-related project.
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