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Learner Reviews & Feedback for Foundations of Data Science by Google

4.7
stars
3,788 ratings

About the Course

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. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Describe the functions of data analytics and data science within an organization -Identify tools used by data professionals -Explore the value of data-based roles in organizations -Investigate career opportunities for a data professional -Explain a data project workflow -Develop effective communication skills...

Top reviews

NM

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.

LS

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.

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526 - 550 of 707 Reviews for Foundations of Data Science

By vikram b

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Oct 7, 2024

good

By Mehreen M

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Sep 29, 2024

good

By GOKUL G G

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Sep 29, 2024

GOOD

By ابراهيم س س ا

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Aug 31, 2024

Good

By Harsh D

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Aug 12, 2024

Good

By Rabia H

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Aug 7, 2024

good

By MUHAMMAD L H M Z

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Jul 29, 2024

good

By SAMER N

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Jul 27, 2024

Good

By Millicent M

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May 15, 2024

good

By Tran N K L Q

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Apr 20, 2024

good

By Nguyễn Q H

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Mar 24, 2024

Good

By Shyam S

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Feb 6, 2024

PACE

By ريناد ع

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Feb 2, 2024

good

By Vỷ H

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Jan 24, 2024

Good

By Rajeshkumar T

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Dec 4, 2023

good

By Sarthak R

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Dec 1, 2023

Nice

By Ryan H

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Oct 23, 2023

good

By Saqib A

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Oct 3, 2023

nice

By Christian V

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Sep 12, 2023

very

By DIWAKAR S

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Jun 4, 2023

Good

By Syeda N

•

Jan 20, 2026

Mmm

By Nguyễn K T

•

Nov 3, 2025

10d

By Do T V

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Mar 25, 2025

oke

By Aaron V

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Dec 30, 2025

..

By Manju R

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Dec 4, 2025

no