Well recommended course to take to fully understand the basic framework on what a data scientist should apply as appropriate methodology in answering a business problem by harnessing the insights in a data.

Course gives a better understanding of the data science field and it's tools. It breaks down the methodology followed and how all the pieces come together to get you on your way to becoming a data scientist

This is a very important course for the beginning Data Scientist. It helped me to understand the importance of developing the question and selecting, testing, and integrating the correct data for analysis.

This course is short, but it gives a thorough introduction to a very straightforward methodology that is easy to understand, apply, and communicate to stakeholders, but still effective. Highly recommended.

its a good course , you get to learn how to approach a problem and how to deal with it, what steps to take to ensure your models are working etc... would definitely recommend going through it at least once

A good course, in my opinion fundamental to step forward in Data Science projects, only one consideration, I thinkk it would be better to put in 2nd place of the degree , before of Tools for Data Science.

Very well explained, easy to digest and really paints the picture of a data scientist various activities and contributions within a project. I highly recommend this course, no previous knowledge needed.

Great overview of most popular data science tools, like Jupyter notebooks and numpy a really great entry point for using machine learning, learning about server services and applying them to businesses.

This course clearly describes the iterative process of Data Science Methodology which is mandatory for a Data Scientist. The course material was easy to follow and the final assignment was interesting.

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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.

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.

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.

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).

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.

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.

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.