Chevron Left
Back to Foundations of Data Science

Learner Reviews & Feedback for Foundations of Data Science by Google

4.7
stars
3,555 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

IA

Oct 16, 2025

the labs were sufficients and well organised. The follow along labs prepare you for the pratice labs and allow you to grab more of the instructional videos when you review them. Thanks coursera

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.

Filter by:

476 - 500 of 660 Reviews for Foundations of Data Science

By Nisal D

•

Jul 22, 2025

good

By Aman G

•

Jul 10, 2025

Good

By Mrudula M

•

Jul 5, 2025

Good

By Trương M Q

•

May 14, 2025

good

By mahira m

•

Apr 16, 2025

GOOD

By Shyamdin P

•

Feb 16, 2025

nice

By Marvin B

•

Feb 4, 2025

GOOD

By Miraç A

•

Jan 26, 2025

good

By fajar a

•

Jan 24, 2025

Good

By Nguyễn X B H

•

Jan 7, 2025

good

By ANJANI M S

•

Dec 31, 2024

Good

By warih w

•

Dec 5, 2024

cool

By Nirav B

•

Oct 29, 2024

Nice

By vikram b

•

Oct 8, 2024

good

By Mehreen M

•

Sep 29, 2024

good

By GOKUL G G

•

Sep 29, 2024

GOOD

By ابراهيم س س ا

•

Sep 1, 2024

Good

By Harsh D

•

Aug 13, 2024

Good

By rabia h

•

Aug 7, 2024

good

By MUHAMMAD L H M Z

•

Jul 29, 2024

good

By SAMER N

•

Jul 27, 2024

Good

By Millicent M

•

May 15, 2024

good

By Tran N K L Q

•

Apr 20, 2024

good

By Nguyễn Q H

•

Mar 24, 2024

Good

By Shyam S

•

Feb 6, 2024

PACE