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

4.7

stars

76,844 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

Aug 21, 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!

Mar 7, 2024

I learned a lot but that might not be a good indicator as I didn't know much about Data Science in the first place. It just fueled my need to know more about the subject so on my side, it's a winner.

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4601 - 4625 of 10,000 Reviews for What is Data Science?

By Himanshu J

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Feb 9, 2019

The Course content was good and it gave me concept about data science.

By Samuel P H

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Jan 19, 2019

Very good high level overview of what is means to be a data scientist.

By Mostafa A E O

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Dec 25, 2018

It was very helpful course, giving you an overview about Data science.

By Michael P

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Nov 6, 2018

The videos and reading were concise, clear, and straight-to-the-point!

By Ruth H

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Sep 4, 2018

Very simple, straightforward and logical. Also informative and useful.

By Wendy C

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May 2, 2025

Great information about the field with actual employees in the field.

By Inayatulla C

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Feb 18, 2025

Well curated for beginners with information on emerging technologies.

By Raul G C

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Jan 15, 2025

Curso muy completo en cuanto a la introducción a la Ciencia de Datos.

By Khoo L C

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Oct 9, 2024

it was great learning experience. i managed to fiddle with the screen

By chisom b

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Aug 25, 2024

It was very detailed and insightful. I had a good learning experience

By Sasha V G

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Jun 3, 2024

Excelente curso, gracias por esta gran oportunidad. Aprendí muchísimo

By Kenyon L

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Nov 13, 2023

A Great module to start the IBM Data Science Professional Certificate

By Ahmad F

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Aug 18, 2023

It is really motivating to understand the importance of data science.

By Ashish S

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Jun 25, 2023

Very beginner friendly course. I was able to complete it in 1.5 days.

By Yordany M L

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Mar 15, 2023

The best way to start data science and find your motivation about it.

By Cesar R

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Mar 14, 2023

Es un curso introductorio pero es muy completo, es meramente teórico.

By Irfando

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Feb 16, 2023

Kelas yang sangat luar biasa materi diracang dengan rapih dan lengkap

By Malinka K

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Jan 23, 2023

Highly Recommended , I have got the necessary basics of data science.

By Sevim İ U

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Oct 4, 2022

Such a nice review for me! I especially love the readings, thank you.

By Noman A

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Sep 6, 2022

I have a A lot of things about Data Scicne. Thank you Coursera & IBM

By Lean P

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Apr 27, 2022

I liked the material becaue it was easy to understand and made sense.

By Sharon R

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Apr 22, 2022

This course really help me in understanding the basic of data science

By Pratibha Y

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Mar 21, 2022

I genuinely found this course super interesting and insighful for me.

By Parooj P

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Nov 8, 2021

The program is concise, practical & valuable with great interviewees.