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

4.7
stars
75,291 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

JM

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.

DN

Feb 9, 2023

I love how beginner-friendly this course is. I did not have to panic about not following any lecture since I am new to this field. I know this is the first course but I'm loving it already. <<33

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4726 - 4750 of 10,000 Reviews for What is Data Science?

By Khaliqur R A

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Apr 30, 2022

A very helpful course for people who dream to be a Data Scientist.

By Yanathi T

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Apr 13, 2022

Very engaging and a great starter for new entrants in Data Science

By Sameer K

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Feb 5, 2022

For Beginner best cource to Kick off their future in Data Science

By Arash K

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Jan 18, 2022

I suppose this course is an excellent introduction to Data Science

By Vivek N

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Dec 8, 2021

Its a very informative course for begineers in Data Science field.

By SUMIT P

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Nov 15, 2021

Found great content with detailed explanation to clear my basics.

By BOSUN B

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Oct 29, 2021

Best introductory course to data science that I have come across.

By Talib A (

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Oct 21, 2021

It was nice learning experience with coursera. Really goog content

By Sneha S

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Sep 7, 2021

The "What is Data Science ?" course was a very informative course.

By veni m

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Aug 26, 2021

This course has been designed for absolute begineers. Was useful.

By Randy Q

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Aug 25, 2021

Great introduction with interesting/informative video interviews.

By José O C F

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Apr 5, 2021

Excellent course helped me a lot to better understand data science

By TAREQ H

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Mar 14, 2021

Well Structured Course with a lot of new knowledge and information

By Mehreteab Z

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Mar 2, 2021

The course is excellent. The videos and the notes are all helpful.

By Regina E

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Feb 8, 2021

GREAT INTRO TO DATA SCIENCE. I WOULD RECOMMEND IT FOR EVERYONE WHO

By Julia S

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Jan 14, 2021

This course is a great introduction to Data Science. Thanks a lot!

By Adewale k

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Dec 5, 2020

Very explicit course. Thank you for giving me opportunity to learn

By Edward V

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Nov 1, 2020

Very thorough and clear introduction of the field of data science.

By Sandrine S

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Oct 5, 2020

I took pleasure during my learning with all the supports proposed.

By Deleted A

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Jul 31, 2020

Course was finely crafted to get the introduction of Data science.

By Ashish A

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Jul 23, 2020

AFTER DOING THIS , YOU WILL UNDERSTAND WELL WHAT DATA SCIENCE IS .

By Adarsh A

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Jun 17, 2020

Explains Each and everything really nicely , loved this IBM Course

By Tarun G

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Jun 13, 2020

Nice and easy to read, basic but necessary elements to get started

By Noah L

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Jun 2, 2020

Super informative and great way to get my feet wet in data science

By Hashmeet

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Apr 30, 2020

Good study material and examples provided for better understanding