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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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4551 - 4575 of 10,000 Reviews for What is Data Science?

By Syed A S

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Sep 27, 2020

It was an amazing course with well managed and brief course content

By Julio c G C

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Jul 15, 2020

Es una excelente introducción al mundo de las ciencia de los datos.

By Umer H

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Jul 10, 2020

It is a great course and helps set the attitude of a data scientist

By Muhammad M A

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Jun 30, 2020

This is an excellent course to build the foundation of data science

By Utkarsh C

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Jun 17, 2020

A good introduction course which covers all aspect of Data Science.

By Nicky P

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Jun 11, 2020

Very well, formulated videos and questionnaires after each session.

By Cristobal F

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Jun 10, 2020

Un excelente manera de iniciar en el mundo del científico de datos.

By Matheus F

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Jun 5, 2020

This course was a good intro course to the world of data science!!!

By Mengqiu D

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May 15, 2020

A very good introduction to what Data Science is! Highly recommend.

By Yang M

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May 12, 2020

I like the course arranged which is pretty concrete and structured.

By Berik D

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May 9, 2020

Thank you very much for provided insights , that was really helpful

By Dean M

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Apr 10, 2020

It was a very interesting course with a lot of Information to read.

By Sharafadeen B

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Apr 6, 2020

Very simplified and explanatory breakdown to a beginner like myself

By Karrie

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Mar 24, 2020

Good introductory course for people who interested in data science.

By Shoumi R

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Mar 5, 2020

It is the ideal way to begin your learning curve with Data Science!

By Fei J

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Feb 24, 2020

Very straightforward and easy to understand even for a beginner!!!!

By Richard H J R

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Feb 17, 2020

Excellent course to get started in the fundamentals of data science

By Amit L

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Jan 20, 2020

Excellent course to begin the journey in the field of Data Science.

By Dev N S

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Jan 15, 2020

IT WAS WONDERFUL COURSE AND I HAD A GOOD EXPERIENCE WITH COURSERA.

By Anshuman M G

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Dec 8, 2019

The course gives an insightful overview of the field to a beginner.

By Rafed A

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Dec 4, 2019

Great course to know about Data Science, I recommend it to everyone

By Jacky T

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Dec 1, 2019

Thoroughly walk us through what is Data Science from the ground up.

By Marco G

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Nov 27, 2019

Very useful introduction to really understand what data science is.

By ahmedullah p

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Sep 16, 2019

it's very useful and informative easy to access all online classes.