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Learner Reviews & Feedback for What is Data Science? by IBM

4.7
stars
75,121 ratings

About the Course

Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field. The art of uncovering insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and accurately predicted the Nile River's flooding every year. Since then, people have continued to use data to derive insights and predict outcomes. Recently, they have carved out a unique and distinct field for the work they do. This field is data science. In today's world, we use Data Science to find patterns in data and make meaningful, data-driven conclusions and predictions. This course is for everyone and teaches concepts like how data scientists use machine learning and deep learning and how companies apply data science in business. You will meet several data scientists, who will share their insights and experiences in data science. By taking this introductory course, you will begin your journey into this thriving field....

Top reviews

AP

Jan 15, 2022

I throughly enjoyed the course and the fact that everything was explained thoroughly. I always enjoyed Dr. White's personal experience with Data Science as well as other Data Scientists point of view.

BR

Feb 21, 2019

Excellent quality content! It's a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious in learning about what Data Science is about.

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4776 - 4800 of 10,000 Reviews for What is Data Science?

By Illya K

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Jun 30, 2021

The introductive course to Data Science is good and explicative.

By 张毅敏

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Jun 22, 2021

The course is a good start to further learn what is Data Science.

By Ayetan S

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Jun 20, 2021

I love everything about the course, instructors, and the platform

By Krittaphas C

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Jun 19, 2021

A lot of good examples related to the work of the data scientists

By Siddhartha S

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Mar 29, 2021

Best and user friendly content.feeling lucky to have this course!

By innocent n

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Dec 29, 2020

This is a really insightful course. I have learned a lot from it.

By Bento D G

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Nov 25, 2020

Great course for beginners in Data Science. Totally recommend it!

By Virendra S

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Oct 2, 2020

This course helped me to get clarity about basics of Data Science

By Gurjeet S

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Sep 15, 2020

It gives complete detail about data science which you must know.

By 17_081_ P

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Jul 21, 2020

Amazing introductory part of data science with practical examples

By Aashna B

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Jul 12, 2020

It was a well designed course with all the basics explained well.

By Fatih A

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Jun 30, 2020

I am so delightful about this course. I will continue to the end.

By Suraj R

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Jun 12, 2020

Excellent Course. Simply Amazing. Strongly recommend this course.

By Scott R

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Jun 9, 2020

This was a good introductory course to the world of data science.

By Aby C

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May 16, 2020

Really nice introduction course, very good. I enjoy it! Thank you

By Bartolomeus P

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May 14, 2020

Good for beginners to learn more about the scope of data science.

By sathvika d

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May 10, 2020

I have learnt that data is very useful now a days and in future.s

By Amit K

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Apr 23, 2020

This is an amazing course and nicely explained by all the mentors

By Dave G

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Apr 18, 2020

This was a well-designed, enjoyable introduction to data science.

By Ramon M

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Apr 16, 2020

Very informative and educational. Great content! 6 stars out of 5

By Shrikant 2

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Apr 15, 2020

Awesome Course by IBM I wanted to apply for an internship at IBM.

By Kapil D

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Apr 1, 2020

A good course who want to learn basics of Data Science and Carrer

By vuyiswa i

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Mar 21, 2020

it was good,but I really wished to receive hardcopy certification

By Sarah B

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Mar 17, 2020

A very good introduction to Data Science, suitable for beginners.

By Arthur T

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Mar 8, 2020

Very good introduction to the nature of the data scientist's job.