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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

A

Jul 8, 2023

A good introduction to data science and the job of data analyst. The course provides useful documents that will be good templates in a professional setting.

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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By Farhan H K

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Jul 29, 2025

Amazing

By Tom K

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Jul 20, 2025

Awesome

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Mar 7, 2025

perfect

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Dec 6, 2024

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Nov 23, 2024

Amazing

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Sep 12, 2024

Amazing

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May 14, 2023

Awesome

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Jun 2, 2025

ممتازة

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Jan 9, 2025

mantab

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Dec 5, 2024

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Nov 25, 2024

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Apr 4, 2024

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By Chandrashekhar D

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Nov 25, 2023

super!

By Justin H

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Nov 25, 2023

brutal

By Bensalah A

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May 6, 2023

Great.

By Agnes W

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Jul 5, 2025

great

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Sep 25, 2024

great

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Aug 19, 2024

graet

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Jul 14, 2024

Great

By Ubaydullayev I U

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Sep 1, 2023

Klass

By Janier R

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Jun 28, 2023

merci

By KIDS L

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May 21, 2023

good.

By Mohammed H

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Apr 29, 2023

great