A very clear and instructive introduction to the Data Science process, from business question to results, with a very pedagogic explanation of all the stages in the process and the specific problems that characterize each of them.

Satisfying with the materials provided but the issue is the example used in lectures. It is better to find some common examples to be understandable for all fields of studies rather than talking about patients and medical things.

Very good! Would be interesting to go deeper and apply the whole data science methodology to a real case, write the code and detail deeply each step. I am searching exercises online to practice similar to real business scenarios.

The methodology presented is robustly presented, with detailed descriptions of each step, the relation to those steps around it, the progress made at each step, and what is handed off between steps. I would strongly recommend it

Excellent course. The data science methodology learned in this course can be used to solve any problem present by one stakeholder. This course topic is the foundation for any one that would like to become a good data scientist.

This is the best Course in the Data Science Specialization so far. Not only does it structure the approach to tackle probles in Data Science but the Labs also gie you a very good idea on how powerful the tools are. Great!

This course will help you to learn new skills like data science methodology using the various type of examples. This will help you to understand all methodology which is important in data science. I enjoyed this course.

A great overview of how a data science project takes place from inception until it is put into real life usage. Bonus point for the emphasis on the iterative aspect of the work put into delivering a successful solution.

Great case study and detail knowledge of methodology to understand business and problem, methods of data requirements, collection, preparation and so on. However, some tiny issue with the lab work such as delay output.

The most important stage and concepts to dive in data science are clearly explained especially with the lab works which helps to understand and one must always know these to dive deep. thank you IBM-coursera platform

A very good course to get the Data Science Methodology:

Business Understanding, Analytic Approach, Data Requirements, Data Collection, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, Feedback.

This is a wonderful course that opened my eyes to Data Science Methodology. It is similar to the process of Data Analysis of survey which i worked on recently. I will definitely look at ways to re-use this knowledge

Amazing course! This course taught me many things and how we can solve any problems related to any industries using data science. Thank you to all the instructors for providing this course in a amazing way...

The course is very helpful. But I think the case study of hospital add complexity to the theory. If they can just use some normal business as case study, it might be better. But otherwise, I like this course.

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.

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 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

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.

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.