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

4.7
stars
73,178 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

FA

Aug 20, 2023

This course is rich, engaging and thought provoking. It is a solid foundation for a career in data science. I now feel more confident that I can excel in this field. Thank you IBM! Thank you Coursera!

MG

Jun 26, 2020

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.

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4676 - 4700 of 10,000 Reviews for What is Data Science?

By sathvika d

May 10, 2020

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

By Amit K

Apr 24, 2020

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

By Dave G

Apr 18, 2020

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

By Ramon M

Apr 16, 2020

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

By Shrikant 2

Apr 15, 2020

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

By Kapil D

Apr 1, 2020

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

By vuyiswa i

Mar 21, 2020

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

By Sarah B

Mar 17, 2020

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

By Arthur T

Mar 8, 2020

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

By RUSHI N G

Feb 17, 2020

Wonderful and informative course. Delighted to learn this course.

By Gabisile N

Feb 10, 2020

Nicely constructed, super easy to follow and assimilate learning.

By Ravi M

Jan 12, 2020

Videos and pdfs were very helpful. The content is simple and apt.

By Stan Y

Jan 8, 2020

Good pace, very informative (at a high level) regarding the topic

By Julie l

Jan 1, 2020

Surprisingly great course---Engaging, informative and insightful!

By Bob C

Dec 10, 2019

Nice start and it gets you motivated to go deeper in Data Science

By prem K S

Nov 13, 2019

nice content for learning data science even you are completly new

By Pitransh M

Nov 9, 2019

This a very good introductory course on the topic of Data Science

By James C

Sep 10, 2019

Interesting and simple introduction to the world of Data Science.

By Usama N Q

Jul 29, 2019

A good introduction to the course.Well formatted. I recommend it.

By SUN Z

Jun 12, 2019

The introduction of data science is very clear and helpful to me.

By joseph n

May 27, 2019

A detailed and a very well explained introduction to data science

By Nathalie A

May 24, 2019

Great training, very interesting. The video are very good quality

By 张洲梁

Mar 24, 2019

Very good introduction to who want to get access to data science.

By adwayt n

Feb 7, 2019

Fun and Beginner friendly! A great way to ease into data sciences

By Joaquin G R

Feb 5, 2019

Nice, comprehensive and straight to the point. Good introduction.