Avis et commentaires pour d'étudiants pour Data Science Methodology par IBM

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.

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

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.

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.

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 :)

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.

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.

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.

P​urely 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

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.

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.

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.

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.

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.

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.

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!

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.

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.

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.

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.

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.

Videos and material are excellent! Manageable and understandable course giving good overview with practical and clearly defined steps towards solving data science problems.

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.

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.

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.