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Learner Reviews & Feedback for Foundations of Data Science by Google

4.7
stars
2,465 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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401 - 425 of 462 Reviews for Foundations of Data Science

By david e

•

Aug 16, 2023

This course was very thorough and detailed.

By Glenn C T

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Jul 24, 2023

Some of the lessons are quite redundant.

By DEBASISH B

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May 3, 2023

A good introduction to Data Science .

By Khem W

•

Nov 13, 2023

nice basic framework to follow

By Jain D D

•

Oct 9, 2024

Its a Good course to be done.

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 Serdi A M

•

Jul 27, 2023

Clear enough

By Priyanka C

•

Jul 20, 2023

Great course

By Maya B

•

May 10, 2024

It is good

By nour-eddin s

•

Sep 24, 2023

Great job

By Michael A

•

Apr 8, 2023

Great!!!!

By Fajar K

•

Jan 18, 2024

nothing

By Wassim R

•

Oct 1, 2023

Thanks

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 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.

By Don B

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Jun 10, 2023

Great value of information and a thorough introduction to data science. However, for the end of course 1 project overview, mine changed from one scenario into three and, it's in a way that I can't manage to understand. I appreciate being challenged and I encourage it.

When I'm to create a proposal with information that is not available to me for a first time user, is not for me. slow it down and build instead of speed.

By JAY P S

•

Jun 24, 2023

Foundations of data science are the fundamental concepts and principles that underpin the field of data science. These foundations encompass a range of subjects, including mathematics, statistics, programming, and domain knowledge. Here are some key areas typically considered foundational in data science:

It could be helpful in upcomming future

By Craig S M

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Jul 28, 2023

I understand the relevance of the information in this module, however it is very dry and not a fun start to the analytics certificate as a whole. I would recommend redistributing the material in this module between the others to make it more bearable and put it in context.