May 14, 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 :)
Feb 27, 2020
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
교육 기관: Diego A P•
Aug 06, 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.
교육 기관: Joaquín R•
Dec 31, 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.
교육 기관: Joseph G•
Nov 30, 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).
교육 기관: Humayun O•
Jun 16, 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
교육 기관: Pokala A•
Apr 15, 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.
교육 기관: Aniket R•
Nov 23, 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.
교육 기관: Alejandro G•
Feb 17, 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.
교육 기관: Israel N M•
Aug 19, 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.
교육 기관: Kalyan P•
Oct 11, 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.
교육 기관: Adeyemi O O•
Feb 02, 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.
교육 기관: Edwin S•
May 02, 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.
교육 기관: Matej K•
Sep 13, 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.
교육 기관: Eric N•
Apr 30, 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.
교육 기관: Carlos J B A•
Feb 17, 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.
교육 기관: Francisco M•
Nov 26, 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!
교육 기관: Pablo M•
Jun 06, 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.
교육 기관: DINESH A Z•
Feb 07, 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.
교육 기관: Andrea M•
Apr 18, 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.
교육 기관: Tuna M•
Mar 31, 2019
As an engineer, i know the importance of methodology not only on data science field, but on every part of the life. This course covers every aspect of data science methodology.
교육 기관: Cecilia A•
Apr 02, 2019
I think this should be the second course to get a Data Science's big picture of the process it involves and then get more to the especific tools such as the open source ones.
교육 기관: Christine M S•
Aug 06, 2020
Videos and material are excellent! Manageable and understandable course giving good overview with practical and clearly defined steps towards solving data science problems.
교육 기관: Farrukh N A•
May 29, 2020
Brilliant course. But one problem that i faced was the example of American health system, it was very difficult to follow as i didnt have any experience of knowing about it.
교육 기관: Sai L K•
Dec 27, 2019
I have not seen any other course which details the methodology in this manner. Definetely took home some very important points and will be using it in my projects as well.
교육 기관: Patxi G•
Mar 01, 2019
Really good content. It is a bit theoretical but it helps you get a clear understanding of what the different steps and actions are when working in a data science project.
교육 기관: Fabio M M•
Apr 20, 2020
this course was very interesting and thoroughly explained.
The food metaphor was very helpful and really made the difference to understand it all.