This course teaches you the data science methodology which is very iterative to ensure to get intended answers to your problems. And the amazing thing is that the course really simple and easy to understand.

I got to know the overall data science methodology cycle. I also loved that I could get some practical knowledge by trying them out in Python. I absolutely recommend this to anyone who's new to Data Science.

This is the best course so far in the IBM Data Science Professional Certificate program.

The content was well structured, the videos were clear, and the use of the case study helped to demonstrate each step.

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.

Explains the structured approach to solving data science problems using the CRISP-DM framework. While the methodology is well-covered, the course lacks coding exercises, making it feel too theoretical.

Rich is contents and study resources and the technique to engage the learner throughout the online course is adorable. Great experience on coursera and improve my learning and skill through the course.

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).

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.