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

4.7
stars
71,109 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

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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!

SH

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Thank you for this coursera.

I get know experience and knowledge in using different kinds of online tools which are useful and effective. I'll use some of them during my lessons. And lots of thanks

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4651 - 4675 of 10,000 Reviews for What is Data Science?

By Enrique C

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Nov 8, 2018

Great course. It give us an introduction to this amazing world!!!

By Akanscha k

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Sep 28, 2024

This course has provide very much information about data science

By Roman R H

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Sep 17, 2024

Excelente introducción abordada desde los conceptos más básicos.

By Aryan P

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Sep 17, 2024

The course is so amazing and everything is in detail i like that

By Aashish K

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Feb 27, 2024

key components are useful and the way of teaching is exceptional

By Apollo S

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Jan 22, 2024

Amazing Course!! I learned so much and am very grateful! Thanks.

By Ann H

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Aug 29, 2023

It is really easy to understand all the concepts, well explained

By Olga N

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Jul 24, 2023

Excellent but on the certificates you should put their our names

By Miguel V

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May 31, 2023

This is a good course. An excelent introduction to Data Science.

By Morteza R

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May 13, 2023

It was really practical and useful.

I recommend it to every body.

By roxana v

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Feb 5, 2023

Excellent Intro. Fabulous Layout. Material is Easily Accessible.

By Kelebogile K

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Nov 14, 2022

I learnt very useful concepts about Data Science in this course.

By Samad J

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Nov 3, 2022

Explained really well. Looking forward to the whole certificate.

By Roland T

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Nov 1, 2022

It was very interesting and informative. I can highly recommend.

By NGUYEN M M T

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Sep 14, 2022

I learn a lot of knowledge about data science from this course.

By Daniel S

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Aug 4, 2022

Thanks Coursera for helping me have class through Financial Aid.

By MD D Q

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Apr 29, 2022

Excellent . This course gives complete knowledge on Data Science

By Mursaleen B

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Mar 23, 2022

Excellent overview of the topic and a great place to get started

By Cristiana E R C S

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Feb 16, 2022

Great Introduction to data science!!!! The best I saw until now.

By shabista i

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Jan 14, 2022

thank you for providing me this course,it is very helpful to me

By haris i

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Nov 19, 2021

This is good for beginners, who want to get to know data science

By Swatej M

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Sep 28, 2021

Really enjoyed this course, gave a good overview on Data science

By Twagirayezu N

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Sep 14, 2021

well structed with easy not advanced terms as it is introduction

By S P

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Jun 23, 2021

The course help me to build basic understanding of Data Science.

By Sagar S

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Mar 28, 2021

this course helps me to improve my knowledge about data science.