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.

This course is finely curated which give close view to tasks need to be performed during an data science project with case study which make understanding of concepts more clear.

Sometimes you pick an answer and finally the results show you an other answer. By the way, I am satisfied with the level of the course. It provides you with useful information.

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.

Muy buen curso Brinda conceptos sobre las fases que normalmente no se suelen hablar, ayudando a tener un mejor enfoque a la hora de iniciar un proyecto como científico de datos

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.

The course makes clear what is expected of me as a data scientist and its more easier to now improve on the skills and tools needed to perform better in each of these stages.

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.

Thank you,

this course was very interesting and thoroughly explained.

The food metaphor was very helpful and really made the difference to understand it all.

Thanks, cheers!

I learned a lot about it. As I never seen such content since I have started using and practicing the data science. So, I like the lectures And I really got something new.

This is the best course so far in the certificate (I've done 4 now). It's presented clearly, concisely, and gave me a better understanding of the data science processes.

This course is nearly PERFECT. In DS, it's really important to take step-by-step methodological approach and this course contains everything in it. Highly recommended :)

I loved this class! What really helped was having a hypothetical case study to demonstrate how the data science methodology is applied. I also really enjoyed the labs!