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

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

H​ad a basic understanding of what data science is but going through this course, it solidifies my understanding on what are the steps taken in a data science project and I realise how important each step is.

This course comprehensively explains the data science project cycle. yet remains crisp at all times. The final assignment demands direct application of the learnings from the course and reflects it very well.

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.

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.

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.

Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!

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.