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

4.7
stars
73,521 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 21, 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.

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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1676 - 1700 of 10,000 Reviews for What is Data Science?

By Ilias S

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Jul 26, 2021

Good intro course with real examples and explanations. Students has not only to watch video but also read books to pass it and that's really cool.

By Sandro P

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Mar 24, 2021

This course is great. I learnt the introduction of Data Science. I think it is a good start and am ready to go deeper after attending this course.

By Shreyas G

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Feb 18, 2021

It was a good course to know the basics of data science and concepts related to data science such as regression, data analytics, hadoop, big data

By Chetan P

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Aug 31, 2020

It's a genuine course for all the beginners who want to have some knowledge base in latest trend of Data Science.

Keep learning and Keep Exploring.

By NADIR I (

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Aug 5, 2020

Exceptionally explained the concepts and coming from me (no computer background) is something, for I had a lot to learn and easily comprehensible.

By Akshat S

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May 26, 2020

Good for understanding the basics of Data Science. The professor from NYU and his life experiences were a great addition. Thanks IBM and coursera.

By Vaibhav M

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May 24, 2020

it is the best course for the beginners who want to go far in data science career and this will clear all your basic and make a strong foundation.

By Lacey V

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May 5, 2020

A great introduction to Data Science. Prior to the class, I knew little about the subject. Now I feel like I really know what this field is about.

By Hariesh R M

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Apr 21, 2020

Thanks a lot for the wonderful material designed! The first step always decides whether to go wit or not! This steps makes sure, learners go with!

By Jose A G

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Apr 11, 2020

Muy útil para aprender conceptos básicos sobre Data Science, también abre los ojos sobre las posibilidades y aplicaciones de el análisis de datos.

By Sidharth K

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Apr 6, 2020

The course was very informative and helpful to gain an overview of what data science is and different career opportunities related to this field !

By Jurom N

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Jan 29, 2020

The course provided clear videos to mainly discuss each topic. The speakers also described each area with expertise and I learned so much from it.

By Deleted A

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Jan 10, 2020

This course ha sgiven me a great foundation and reassurance that i am in the right field! i love to learn and im looking forward to the challenge!

By javiera m

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Nov 14, 2019

Very good course, very interesting and didactic, it was explained in a good way for one who is a beginner and wants to start taking these courses.

By SACHIN G

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Oct 11, 2019

The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA

By Vijay N

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Jun 13, 2019

A very keen approach to learn what actually Data Science is. I would highly recommend this course to the beginners like me.Thank to team Coursera.

By Heath W

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May 27, 2019

Perfect intro into how the course will work and what Data Science is really about. So much beyond the topical conversation given in other forums.

By Karan G

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Feb 19, 2019

It's a good course that gives you a practical insights about the data science and data scientists.Looking forward for other courses in this series

By Christian S

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Oct 15, 2018

This is a good introductory course into Data Science. There is no technical practice, just an explanation of data science and all that it entails.

By MUSUVAHO H

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Nov 18, 2022

Great learning style and i really enjoyed the way question where formulate and how during the learning they was pop-up question to keep me focus.

By Taylor P

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Sep 23, 2022

A great course for beginners like me to learn what being a data scientist entails and what paths you can go down if you become a data scientist.

By Jayne O

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Mar 21, 2022

This is definitely a good way to move into Data Science. It is a foundstionl course that has helped me understand basic concepts in data science.

By shepherd m

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Mar 21, 2022

Great introduction, I liked the approach of the industry guys telling a story of their data science journey. Its inspiring as well as educating.

By DINESH Y P

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Apr 1, 2021

Really Great Experience to Completing Data Science course now i able to understand all basics and little bit advance knowledge about Data Science

By Dillon L

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Jan 26, 2021

A great introduction into data science. Great for people who are interested in the subject and are thinking about pursuing a future in the field.