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

4.7
stars
73,135 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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701 - 725 of 10,000 Reviews for What is Data Science?

By Kesevan K

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May 2, 2020

I love this course. I should pick up this course 10 years ago. I'm too old and i don't think anyone would employ me after i complete this remaining course. Good that i know now, Will definitely further my studies in this subject.

By Eduardo C

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Jan 27, 2020

Great introduction about what Data Science is, what is required to become a Data Scientist and what you can do with Data Science. I loved the part that touched what you can do with IMAGES with IBM Watson. Very impressive!

By karthik

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Dec 16, 2019

Data science is the process of using algorithms, methods, and systems to extract knowledge and insights from structured and unstructured data. It can be used to make predictions and decisions using analytics and machine learning.

By husam n

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Oct 21, 2018

This course is the best course I have ever taken. I really loved the interviews done in this course. I also loved the way this course was presented. I highly recommend this course for those want to begin a career in Data Science.

By Nabil F R

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Aug 30, 2024

This course is very helpful for someone like me who knows nothing about data science, machine learning or AI. After completing this course, now i can say i know what those word means and how they relate with our day to day life.

By Pornima P

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Oct 1, 2021

This is a very knowledgeable and best course for beginners. From this course, you will understand much more about What is Data Science and why it is important and what technologies you should have to learn for the Data Science

By Aadira N

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Apr 15, 2021

Loved this course, definitely gave me more insight into the fundamentals of Data Science, what exactly it is and what data scientists do. Looking forward to completing the rest of the courses under this professional certificate.

By Ashley H

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Feb 21, 2021

This is an easygoing course for the beginner. I explored basic knowledge about what data science is. Thanks for the simple and clear platform and all easygoing video and materials. I will approach next course in this field more!

By Ryan J

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Dec 19, 2020

A great introductory course to Data Science exposing many different opportunities and different aspects of the environments and the different aspects. Looking forward to the rest of the IBM Data Science Professional Certificate.

By Gokulakannan S

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May 4, 2020

The course was very good and beautiful. I really loved watching all the videos. But there were few videos whose Subtitles didn't match the words used in the lectures. It must be updated. Otherwise, the course was just fantastic.

By Danesh T

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Apr 22, 2020

Wonderful experience in this course and it is very useful in my further career and i came an idea about in the data science and how is data is changing the world into the digital world and increases the quality of life

Thank You

By Vipul P

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Mar 2, 2020

It is very good introductory course on Data Science. Beginners will get a really good idea of where to head next. My suggestion to others will be to complete all the courses in this specialization. Cheers to IBM and Coursera :))

By Dmitriy N

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Sep 10, 2019

Despite the fact that quizzes were locked, and, PhD guy claimed that you have to be a PhD to be a successful data scientist. No, you do not have to. What you really need is interest in this field and passion to do data analysis.

By Galuh S

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May 23, 2019

It is remarkably helpful for me who do not have strong background in programming or statistics, to get a good grasp on what is actually data science, what is the fundamental concept, and what skills needed to master this subject

By sunil

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Sep 19, 2018

As this was the course 1, author has covered the scope ,requirements and vastness in a very clear and comprehensive way. Also the speakers are well experienced. Will look forward to go through the other parts of IBM Data Science

By ankit g

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Jul 24, 2022

Amazing for me as I am a commerce graduate having a good interest in mathematics but Indian education policy resists me from taking courses in the discipline of mathematics. This course saves my life. Thank you. Regards, Ankit

By Maybelline M H R

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Nov 29, 2021

Me encanto y que uno aprende sobre los datos y un científico de datos también a diferenciarlos, la verdad los datos son importantes en cualquier área y ayuda a dar una solución a los problemas que se pueden vivir en la empresa.

By Zareef J

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Jul 31, 2020

From this course I learned how can I use the knowledge of data science in different fields and how to data analysis in my field of interest as well as what kind of knowledge and skill I need to acquire for fulfilling my goals.

By Pooria T

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Jul 27, 2020

It is a well-organized course which makes me familiar with the concepts of data science and data scientists. I addition, it brought a lot of good examples from real-world how to apply data science or how to be a data scientist.

By Jayant

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Apr 8, 2020

This Course completely and accurately defines data science, how it can be used, what are the tools to achieve and where it can be used. This also gives knowledge about different sub-sets of data science.

Very good for beginners.

By Ullas

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Dec 10, 2019

Awesome . An easy course with very good content . Not some professors are coming and teaching , people with experience whowith data science are discussing points related to data science and sharing their views among themselves.

By indrajit g

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Oct 31, 2019

Understanding what is data science and what is the role of data scientist, tool and techniques to be understood and attitude and aptitude required for being a data science professional what is a report and whats its components.

By Andrés F L C

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Jun 9, 2019

This first course really encourages and motivates me about data science career. Understand that data science is not only about statistics and algorithms, but also about storytelling was the best way to start the specialization!

By SRIRAM R

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Apr 25, 2018

The course is perfect for a beginner to get introduced to the concept of data science. The videos of Dr. Haider in particular are exceptional and his choice of words to describe components of DS makes it easy for the student to

By Donny C

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Aug 26, 2023

As someone who has no prior experience in data science or anything IT related, this course is great. It gave me the foundations for data science and how data scientists have a huge impact in the digital world we live in today.