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Learner Reviews & Feedback for Foundations of Data Science by Google

4.7
stars
3,726 ratings

About the Course

This is the first of eight courses 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

SM

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.

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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601 - 625 of 693 Reviews for Foundations of Data Science

By Rahul B

•

Jul 19, 2024

This is very good course

By Farzain S

•

Sep 6, 2024

instructors are superb!

By Ernest M

•

Apr 22, 2023

great learning platform

By 丁邦楚

•

Sep 1, 2025

soooo great!!

By Serdi A M

•

Jul 27, 2023

Clear enough

By Priyanka C

•

Jul 20, 2023

Great course

By Karina V

•

Aug 12, 2025

Buen curso

By Maya B

•

May 10, 2024

It is good

By Dolagobinda M

•

Nov 5, 2025

Excellent

By nour-eddin s

•

Sep 24, 2023

Great job

By Michael A

•

Apr 8, 2023

Great!!!!

By Daniel A

•

Mar 26, 2025

awesome

By Fajar K

•

Jan 18, 2024

nothing

By Wassim R

•

Oct 1, 2023

Thanks

By Adler S R C

•

Aug 20, 2025

GREAT

By Sadanand N U

•

Apr 15, 2025

good

By Sanidhya S

•

Nov 23, 2024

nice

By van h

•

Aug 22, 2024

goof

By ARPIT E

•

May 1, 2024

PACE

By Akshay K

•

Oct 14, 2023

Good

By ayuni l

•

Aug 9, 2023

good

By Syed M H

•

Jul 15, 2023

nice

By Marastika w a b

•

Nov 19, 2025

OK

By Juan P C

•

Sep 29, 2024

.

By Ashley Q

•

Jul 19, 2023

I just completed this course. I do feel some of the topics from this course is a bit repetitive from the previous Google Data Analytics courses. Like what others said on the reviews, I do feel this is more of a communication course rather than a data science course. It's actually quite nice to add a end-of-course project at the end of the course - it does reinforce everything that I learned from the course. But the problem is this project is not suitable for beginners like me - for instance, I don't understand what is "compute descriptive statistics" or "build regression model". I might be able to identify the phase for those tasks but I'm not sure are those tasks necessary to achieve the company goals. The end-of-course project is something I'll have to revisit after completing more courses.