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Avis et commentaires pour d'étudiants pour Qu'est-ce que la science des données ? par IBM

41,788 évaluations
7,786 avis

À propos du cours

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today....

Meilleurs avis

11 mai 2020

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.

18 juil. 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).

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251 - 275 sur 7,741 Avis pour Qu'est-ce que la science des données ?

par Ankit J

20 mai 2020

Detailed Intro course to become a Data Scientist and got to know about the various things that come under the data science. We also got to know how wast the filed is and their capabilities which give useful methods and techniques to improvise the business/ game/ anything where we applied.

par Devvrat M

31 oct. 2019

It is great course for the beginners of Data Science as it give a brief introduction to the data science and the role of data scientist. This course also has able to share the experiences of some people in the data science field and how they got into it and their experience related to it.

par Fernando S

30 oct. 2019

Very good course, it gives you a basic idea of what data science is. It is very clear, organized. I left with a better understanding of this subject. This course has encouraged me to learn more about data science. I will take the other courses that are part of this specialization as well.

par Pratik S

9 juin 2019

A very basic and from the ground understanding of data science and what data scientists do is mentioned in this course. It is the perfect surface to start this 9-course specialization. I am happy I started with this course and I feel very much confident about moving forward in the series.

par Matthew A

31 mars 2019

Very happy with this introductory course. It not only provided a concise and interesting introduction to the topics, but it also did well to ease you into the course format, including videos, reading, quizzes and the final project submission. I look forward to more courses in this series!

par Isaac O

22 juin 2020

It was enlightening, to say the least. The ability to differentiate each subsets data science, and answer the question of who is a data scientist was the most intriguing. With this initial course, you can make a decision about your motivation level in pursuing the exciting field of data.

par Alifian A R

20 juin 2020

It has detail and broad explanation about data science and its application, even if you don't have any knowledge about data science, you could understand every piece of knowledge serve here. All you need to have in the beginning just using your english language to understand this course

par Rohit K

28 juin 2020

in this course i know about how data are actually work and how we are at data science and how to become a data scientist,how out data work,store and how the team work and what knowledge we learnt for understanding data science.this is a good for beginners who want to a data scientist.

par Angshuman S

14 sept. 2019

Simply in love with Data Science. Thank you IBM and Coursera for helping me revive my thought of being a data scientist which I had dropped. Thank you for helping me believe in myself and I really look forward to your course and aspire to be a data scientist one day. Happy learning :)

par Arisara C

1 sept. 2018

Data science :The science of collecting and changing information to knowledge

by​ Data​ Scitist

good​ data scientist​ has a

1.​ curious mind, judgemental​ and​ argument

2.​ has knowledge of mathematics and computer science​..

3.​ has a good algorithm for analysis data to find a result.

par Alex M

23 sept. 2020

Really a great course to get a clear understanding of what is Data Science and what are the roles of a Data Scientists. It gave me a clear overview when and where do we require data science and clear defines the skills required to be a data scientist. Thanks a lot IBM and Coursera!!!

par Mai A L

30 mai 2020

The course is very friendly but at the same time takes you into the world of Data Science more deeply. I loved the lectures, they gave me the basic understanding of the subject and mostly the time to understand if Data Science is something I wish to put an effort and time into (yes!)

par Angelo S

23 mai 2020

I had some misconceptions about Data Science and what data scientists do. This course set me straight and ignited my enthusiasm to continue pursuing this path. Armed with better understanding and a clearer vision of where and how to proceed, I can't wait to move on to the next level.

par Oleksandr B

26 nov. 2019

Was very happy to hear that curiosity, be extremely argumentative and judgmental are the must and top skills of a Data Scientist! Will definitely read "Getting Started with Data Science: Making Sense of Data with Analytics (IBM Press)". Thank you so much for the great introduction!!!


20 sept. 2020

Informative and well structured, the instructors made the topic interesting and intriguing. Not easy for a "hard" science like Data Science. The sense of wonderment and curiosity that was infused in this course makes it ideal for anyone who is just dipping their toes into the topic.


27 mars 2019

Murtaza Sir was my favorite during the entire session, his thoughts motivated me a lot, the one when he said the curiosity is the most important skill when you are going to become a DATA SCIENTIST.

Really Good Work by Coursera team and IBM for creating such a wonderful course for us.

par Preetham s D

22 avr. 2020

This is a course which can provide knowledge on Data Science Foundations .A person who is having 0 knowledge on Data Science ,after taking this course can have a clear cut view of applications of Data science and can gain knowledge that can drive his passion in Data science career.


14 avr. 2020

This course has given a basic view about data science and tools being used by data scientist. Easily described about AI, Data mining and neural network. I came to know the basic differences between deep learning and machine learning and how they are interrelated with each other.

par Dinara K

7 janv. 2020

Course gives fundamental discription of what is data science and who is data scientist. I have learnt about the skills that are need to become a good data scientist. In general, it is great course, that will open your curiosity and interest to learn even further about data science.

par Jehad h

2 juil. 2019

This was just an introduction, but you have done an amazing job. I used to enroll in many courses before in different majors on-campus and online, but no one was enjoyable as this one. I have full motivation to keep exploring on this course details and the next sections. Good job.

par Orah R O

20 juil. 2020

Dear Sir/Madam, My name is Orah Richard Ojochegbe, I am from Nigeria, my goal is to obtain my MSc and Ph.D. in data science (Especially AI, Big data and Machine learning(Data mining) in your organization. I have completed a course on what is data science? Please update my account

par Shalini k

16 mai 2020




par Ounam G

24 mars 2020

The title of the course really interprets what the entire course will teach you. Very informative, even though I am myself going for masters' didn't knew a lot that they covered in this series of lectures.

You will surely change your field if not in the same after watching this!!

par Zach P

9 déc. 2019

A really great course, and an adequate amount of work/quizzes. It says about 3 weeks long of a course you can finish most of it in 1 full week of work. Which is perfect for someone like me, where on the weekends after work I can gain some huge progress and not feel so far behind

par Marco M

10 oct. 2019

Is quite scary to say the least to jump in to something named: Data Science, specially when you don't come from a Data or a STEM way of life. After finishing this course I have to say that I just want to keep learning to get my certificate because I'm sure I can make it happen.