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

4.7
stars
76,521 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

BR

Feb 22, 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.

YH

Jul 19, 2023

Data science is to use new and old data combined with mathematics, statistics, database and other tools to discover hidden problems or insights to help us solve problems or make correct predictions

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4951 - 4975 of 10,000 Reviews for What is Data Science?

By Michael C

Mar 24, 2019

A good introduction to data science and what data scientists do.

By AHL M S

Feb 17, 2019

Vraiment plaisant et très instructif, vivement le deuxième cours

By Vigneshwaran P

Feb 15, 2019

Awesome now I know something about Data Science, Thanks Coursera

By Sreeja A M

Jan 9, 2019

Thanking all the instructors for introducing me to Data Science.

By Erick H R

Oct 12, 2018

Liked it a lot, gave me a great idea of what is the course about

By Juan E

May 31, 2025

Una buena introducción a las herramientas y la ciencia de datos

By Pedro B

May 18, 2025

It provides an excelent introduction to the data science field.

By Josue R

Mar 9, 2025

The course is complete, interactive, engaging, and educational.

By Yerravalli V S R

Nov 2, 2024

Good Course, Enjoyed the Sessions Covered in it. Thanks to IBM.

By Oluwatobiloba O

Oct 25, 2024

The Course is well structured and well explained. I enjoyed it.

By José M

Oct 20, 2024

Muy buen curso, didáctico y una buena estructura de aprendizaje

By Muhibur R C S

Oct 7, 2024

A great course to start the journey to become a data scientist.

By SAMIRKUMAR P

Sep 23, 2024

ITS TO GOOD FOR UNDERSTANING DEEP KNOW, COVER IMPORTANT SUBJECT

By Robert K

Jul 8, 2024

Perfect course to get to understand what Data Science is about.

By Chamir N

Sep 29, 2023

This is a very straight and clear introduction on Data Science.

By Abhay p S

Jan 1, 2023

this course is really good for understanding about data science

By Simply S

Nov 14, 2022

Great way to learn high-level what data science is and entails!

By Tina

Nov 2, 2022

I've learned a lot of things, espacially the report structure.

By Berat H

Oct 31, 2022

Best training i have received for fundamentals of data science.

By Bharat R

Aug 3, 2022

it's really helful i must recomend it for future data scientist

By Saiprasad C

Jun 12, 2022

This couse is very helpful to start a carrer in Data science .

By Steffi Y

Jun 7, 2022

Great Courses for Beginners who are interested in Data Science.

By Krunal P

Apr 12, 2022

Great course with guidance from various fields in Data Science.

By Claudio A

Nov 11, 2021

Good introduction of What is the data science, and its history

By Abhijith T M

Oct 16, 2021

Really helped me to understand the fundamentals of data science