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

4.7
stars
72,757 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

PD

Jul 18, 2018

I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).

SB

Sep 9, 2019

Very learning experience, I am a beginner in DS, but the instructors in this course simplified the contents that made me I could easily understand, tools and materials were very helpful to start with.

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351 - 375 of 10,000 Reviews for What is Data Science?

By Marco G

Mar 21, 2024

Nos da un excelente acercamiento a la ciencia de datos y nos excplica sus conexiones con otras ramas que probablemente hayas escuchado anteriormente tales como la ia generativa, machine learning, deep learning entre otras, tambien nos menciona que habilidades son necesarias para desenvolverse de la mejor manera com DS,

By Vikaskumar P

Nov 13, 2019

I considered myself a relatively well informed person before I began the course, but I learned a lot, and especially benefited from the overall perspective that the course gave me. All this vitally important info in one place, with the needed support to withstand the disturbing truths. I've never seen anything like it.

By Mohamed A

Oct 7, 2019

A very good course help to get more focused on What actually is Data Science? as it covers

1-The history of data science.

2- Examples of some practitioners.

3- How it's the backbone for many outstanding business platforms today and also startups.

4- Most important tools and business models in regarding to Data Science.

By Louis

Sep 8, 2019

Very interesting course, I learnt lot of concepts that could sound difficult to understand at first, but all those were clearly defined in the videos and readings. Lot of interviews in the videos, very interesting to get the point of views from different people. Looking forward to continue my journey with data science!

By José A S

Aug 3, 2019

This is a great introductory to Data science fundamentals. ¿Qué es la ciencia de datos y qué hacen los científicos de datos? Con este curso obtienes excelentes respuestas a esta pregunta y te ayuda a entender el ámbito de la ciencia de datos. Entre otras cosas adicionales como las herramientas necesarias. Recomendado!

By Ankit R

Jul 6, 2019

The introduction of what is Data science is explained in a very structured way. I'm sure after reading material and listening videos everyone will be able to tell what exactly a "Data Science is" and what is "Data Scientist do". Overall it was a good experience.

Structured content and faculty interaction was also good.

By Peter F N

Aug 13, 2018

For someone with an interest in data science, this is a perfect high level introduction to what to expect as a data scientist. This course will not be useful to someone already working in the field, but is excellent for someone who is considering a move in that direction and is curious about what the field has to offer

By Ravi K

Jun 18, 2020

The course is well established to get started with Data Science for those who want to start their career in this field. The guidance and insights about the course by the speakers is well explained and the way they have stressed on exploring than cramming is great way of teaching the stuff. Great Course t begin with!!!

By Moria F

Jun 25, 2019

For someone who has absolutely no data science background, this course was very easy to follow. And in order for me to learn, that's what I need. I get bored easily when reading or watching videos (which is why in person classes are so hard for me). However, switching up the people who are talking to you helps a lot!

By Aurelio A I

Dec 18, 2019

Very introductory, rather useful to understand what people is doing and how (practically) any of us with (almost) any kind of interest can be a part of Data Science. Do not worry: here you do not need to be an engineering, programmer, scientist, MBA... just be curious about what is Data Science and why it is useful!

By Viraj N

Nov 25, 2019

Good course! Gives you an intro into what data science is, kind of problems which are solved, actual interviews with data scientists and ends with report structure that is ideal for any project on data science. I am already present in this field but it was a good refresher and rekindled my spirit. Thank you so much!

By Carmel R

Jul 21, 2019

Great introduction to Data Science. The definition and purpose of Data Science before this course was very unclear and hazy for me. After taking this course, I have a comfortable understanding of what data science is, what the importance of it is, and what kind of a characteristics are desirable in a data scientist.

By Волощенко Н Ф

Oct 9, 2024

Курс чудовий: інформкація викладена простою та зрозумілою мовою. Єдиний мінус - технічні проблеми: у другому модулі не вийшло повністю зробити лабораторну, так як посилання на Jupiter Notebook було на хабі IBM, але не выдкрилося. Також проблеми з автоматичним перекладом тестів у 3-4 модулях. Окрім того, все чудово

By Bright O

Oct 15, 2019

My decision to embark on the journey of this course is by far the best choice ever. I have attempted a couple of online trainings on Data Science before now but Coursera literally makes learning fun and engaging. I find that I am now willing to continue till I achieve my goal in becoming a certified Data Scientist.

By ROSENDO P D

Sep 10, 2024

I think the course is quite easy, but have a lot of information to understand the first layer of what is data science. Also helps to now what you need to become a data scientist, which in my case played a fundamental roll to decide if this is what i want. (I hope i wrote it well because i am practicing my english)

By Henrick K

Jul 4, 2021

This course provides you with a great introduction to data science. There is also some practical exercise using IBM Watson studio. I loved that it was hands on and that it provided a brief snippet of what being a data scientist is like. Wonderful course. I would recommend for anyone who is a beginner in the field.

By Farhan H

May 26, 2020

I used to have zero knowledge about data science and i think that the course gave me a brief and very useful introduction to what is data science and it's application. Thank you for the financial aid Coursera. I hope that the knowledge would be very useful in the future not only for me, but also for other people.

By Bismillah J

Jan 24, 2020

I have learned alot from this course. What is big data? Where we can use it? and how we can get insights from data? You will find all the answeres here in this course. Moreover, this will enhance your interest in the field of data science. I strongly recommend this course for the newbies. Thank you coursera team.

By amit s

Jun 15, 2020

BY doing this course i come ti know the basic understanding of the what is data science

What is the role and prerequisites of data scientist . In the course everything is mention in simple and lucid language . Experts lectures are very informative and and the flow of the course very systematic manner . Thanks

By IRIABIJE O T

Mar 29, 2020

I am overwhelmed by this course and the topics treated. I never had any knowledge of Data Science but the course gave me an opportunity while gaining in-depth knowledge on the data science tools. I am so elated about the Visual Recognition tool I used to analyze images. Thanks to Coursera and the entire IBM team

By abhishek k

Oct 27, 2020

It was very smooth way to explain Data science for a beginner with describing various industry problems and their solution by using data science.Now as i knew nuances of Data science and also knew the depth of it's requirement in real world scenario. It enhances my curiosity to work in depth in this skill set.

By Kyle H

Jan 22, 2020

This gives an excellent overview of what Data Science is from a technical standpoint, and from a human standpoint. It is a really good way to get an idea if you're the kind of person who would like to become a data scientist or not, and to see what kinds of skills you might need to succeed as a data scientist.

By Kelli A

Jan 30, 2019

I really enjoyed this course. It is informative and provides great perspective. It allows for visual, tactile, audible learning. It kept my interest and allowed me to apply my learning using concise and useful projects. I would recommend this course to anyone interested in learning more about data science.

By Burçe B Ş

Oct 21, 2018

It is great that the course makes a student's focus always on point by little quizes during the videos and also at the end of the videos and reading materails. The only thing I can criticize is that the answers to the questions in the quizes need to be exact words or sentences mentioned at the course material.

By Lampros V

Feb 18, 2024

Good concepts for familiarity with Data Science. Despite the fact I have worked as one I learned a lot in this module such as The Process of Data Science, First steps for companies, ultimate purpose of analytics, Data Mining Goals, Final Deliverable, Report Structure, Roadmap and skills and ETLs to name a few