TM
18 juin 2021
Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!
AG
13 mai 2019
This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)
par Javier F A
•26 mars 2020
T
h
e
c
o
u
r
s
e
i
s
r
e
a
l
l
y
f
a
n
t
a
s
tic. It is impossible to understand the purpose of a science if you don't understand the problem and the approach to problem solving. And this is precisely what is achieved here.
par Tomasz M
•19 juin 2021
Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!
par Diego A P
•6 août 2020
This course covers the end to end cycle suggested framework that can be useful not only in Data Science but also in other Research Projects that manage information to create and deploy a solution.
par Joaquín R
•30 déc. 2019
It is a very important course to understand the procedures and thought processes behind data science. I strongly recommend it to those who are unfamiliar with data science or reserach methodology.
par Joseph G
•30 nov. 2019
This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).
par Ali M
•5 juin 2021
A very important course to develop a fundamental understanding of data science. Excellent in-course example to simplify the process of learning (think of it as a recipe in cooking). Enjoyed it.
par Humayun O
•16 juin 2020
Great Course. It was a simple course and to the point. It explained the concepts perfectly for future advancement. I think the theory in here could be applied to any problem data science or not
par Pokala A
•15 avr. 2020
It's a very good course for getting the basic idea of the methodology of data science. It will help to get grip on how to proceed to a problem in a systematic manner for getting good results.
par Aniket R
•23 nov. 2019
It was a good course with very easy to understand material and methodology.
In my opinion additional optional reading resources or case study links is required for this to be a 5 star course.
par omid z
•6 janv. 2021
in this course step by step guide for beginner data scientists is illustrated with practical application and real examples with codes! best course in this specialization so far. Enjoy it :)
par Hind B
•17 août 2020
Very enriching course. I really liked the content of this course as it has guided me the basic framework of solving any data science problem. the assignment is also fun and enjoyable to do.
par Smita T
•12 févr. 2022
Content delivery was good, slides are awesome, lab assignmet , quiz questions are great for understanding the course, case study based learning helps to understan the concepts clearly.
par Alejandro G
•16 févr. 2020
Muy completo, y entendible acerca de cómo convertir un problema en un proyecto solucionable a través de la data, siguiendo simplemente unos pasos y pensando con un poco de creatividad.
par Israel N M
•19 août 2019
This course is a great overview of the process of analyzing a data set. I feel a lot more ready for a Data Analysis job after this course than I did before. So glad I chose to take it.
par LO W
•27 juin 2021
Purely the Methodolody of Data Science. It is good for those who want to know the big picture or the working flow of Data Science. It is necessary to take other courses to go deeper
par Kalyan P
•11 oct. 2019
By this course you will be able to think like a Data Scientist. The methodologies explained in the course rebuilds my mind in thinking about how I should approach solving problems.
par Adeyemi O O
•2 févr. 2020
I thoroughly enjoyed this module and will go back to reread it several times over. This is the foundation of everything I will be doing in the future. I want to be grounded in it.
par Edwin S
•2 mai 2020
Love the CRISP-DM methodology and the examples given to illustrate each step. Definitely needs to be a standard procedure for any company wanting to develop data-driven analysis.
par Matej K
•13 sept. 2019
Very well done course that explains all the stages of a data science project with use of examples (case study). Reading and Jupyter Notes are also very well done and descriptive.
par Eric N
•30 avr. 2019
It don't just give you the methodology at high level, it also shows you the codes you would write for each step so you get a solid feel of how the analysis and execution happens.
par Carlos J B A
•17 févr. 2019
A rewarding experience because I have been able to learn very valuable information. It is an excellent course. It has helped me in the personal and professional field. Thank you.
par Francisco M
•26 nov. 2019
Maybe the Data Science Methodology course it is the more important course from IBM Data Science Professional Certificate. This course will help me a lot in my professional life!
par Pablo M
•6 juin 2019
This is a great introductions to the methodology that is needed for any data science project. I only wish it would give more formal definitions of the major concepts we learned.
par Dinesh Z
•7 févr. 2019
This is one of the fantastic course in data science. I enjoyed a lot learning through this course. It had explained nicely, various data science methodologies with case studies.
par Andrea M
•18 avr. 2020
The course is well done. In particular I really appreciated the laboratories, which I really believe help to put in practice and understand what has been taught during classes.