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Learner Reviews & Feedback for Foundations of Data Science by Google

4.7
stars
2,554 ratings

About the Course

This is the first of seven 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 seven 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.

RM

Sep 21, 2024

Good intro. Was able to move through quickly to suit my level of comfort with material. Was more about filling in some practical details for me, rather than introducing me to a 'whole new world'.

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176 - 200 of 469 Reviews for Foundations of Data Science

By Rafael D d D

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Mar 24, 2024

Interesting approach to the data world and profession

By Nagender B

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Dec 5, 2023

Best for understanding the foundation of Data Science

By Ngô H T

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Aug 23, 2024

The program is very useful for the young generation.

By medha p

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Feb 10, 2024

Excellent Introduction to the field of Data Science

By Saba K

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Aug 5, 2023

A wonderful course throughout very well explained.

By Subhajit M

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Jun 28, 2023

Very organized and industry oriented explanations.

By Brijesh K S

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May 28, 2023

Got real insights and basics of the data analysis.

By Redem P

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Nov 20, 2022

Excellent high level introduction to Data Science.

By Saptarshi S

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Oct 18, 2024

Superb. The End Course Project is really helpfull

By Shahbaz Q

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May 19, 2023

Excellent course for success in data career space

By ANKAN D

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Oct 28, 2024

Good Course to get started with the Data World..

By Ijaz M

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Apr 24, 2023

Brilliant Overview Of Data Analytics Profession.

By Marcel T

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Feb 8, 2024

Good course to take to improve your knowledge.

By Felipe H A

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Jan 1, 2024

gran curso introductorio que deja buen material

By Joaquin S

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Jul 30, 2024

Great introduction to data science soft skills

By Nursuryanti R

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Jan 27, 2024

good course for everyone learning new skillset

By PRACHI S

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Jul 12, 2023

the teacher and the materials were outstanding

By Abubakar K

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Oct 12, 2023

This course made me feel like a data manager.

By Valente M

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Aug 6, 2023

THIS COURSE IS INCREDIBLE, CHANGED MY LIFE...

By zaki i

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Jul 24, 2023

easy to understand and so meaning full course

By Rimsha A

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Apr 24, 2024

This course is very helpful and informative.

By Andre “ S

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Mar 22, 2024

Clear and exciting start of Specialization.

By Diya s

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Aug 16, 2023

it is seriously founndation of data science

By Rabia A

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Jul 20, 2024

It's really great experience, very helpful

By Ali R R

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Oct 5, 2023

Greate Place for learning in-demand skills