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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
19,899 ratings

About the Course

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems. Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python....

Top reviews

AG

May 13, 2019

This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)

JM

Feb 26, 2020

Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.

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2201 - 2225 of 2,503 Reviews for Data Science Methodology

By Amit K

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Apr 5, 2020

Videos are somewhat confusing. They are not target to the current topic but also states about other topics as well in the same video, which makes it difficult to understand and easy to loose track of what is being taught in the video.

By Daniel T F

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May 16, 2019

Presents you a good overview according the main topics of data science methodology. The case study is a good example to illustrate to content. But with respect to my experience the labs are very limited concerning the learning effect.

By Ivo M

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Dec 13, 2018

The narrator was quite fast and I could not engage with the video lectures so well on this course. Consider review the Hospital case study too, which is quite complex when trying to understand the new concepts on the methodology.

By MUNIB U R

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Jun 22, 2019

The course is a bit confusing for a beginner, the concepts should be clearly explained, the prediction model and the descriptive model should be taken in different videos.The learner should understand the difference clearly.

By Ashwini K

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Jun 4, 2020

It would nice if case study and lab example would be same to follow more deeper understanding between video class and example .The web scraping example is nice and should be in presentation for understanding purpose.

By Roy R

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Apr 3, 2019

Difficult being able to apply the final test to the complete module objectives. Though it was good foundation, felt it should be split into several workable modules/stages instead of all 10 methodology steps at once.

By Munkhbolor G

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May 9, 2020

All example and cases are related to hospital. Every single subject with different case would be highly appreciated and helpful to others. Hospital case were kind of confusing as i am NEW BEE for data science.

By Yves J

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Aug 14, 2019

Methodology course should be done at the end of the whole certificate course or at least when the student has a better understanding of all the statistical methods available (regression, machine learning..)

By Roshan P

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Apr 17, 2019

This could be little bit more in detail. The content and the methodology was introduced but could be more in detail about all the analytical approaches available and why we chose decision trees for the CHF.

By Jason L

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Jun 24, 2019

Good intro, but I felt the introduction to python might have been better before this subject. Could have spent more time on the Labs, seemed more complicated if you didn't have any background in coding.

By Louis C

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Mar 27, 2021

The course has very little material, it feels like it could be a chapter in a course. I learned a valuable and good methodology though. So the content is good, it just feels like very little contents.

By Erik Y

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Mar 29, 2020

Rather open ended. The main points should be crisper. For example, why is feedback not part of the final assessment , where the keywords repeated in the training and in the final assessment?

By Aman A

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May 8, 2020

The last course jumped to python notebooks which has a lot of coding,while Python language is yet to be covered,I feel the notebook assignment should have followed after the Python module.

By Kate O

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May 9, 2019

This course provides a clear approach to data science methodology. The lab exercises are difficult to open and use, but the case study presented in the instructional videos is informative.

By Prabir C

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Sep 11, 2019

very theoretical topic and hard to follow with case study give, The final assignment is also very unclear on what to expect. This course content needs to be redone by the instructors.

By Ephraim K O

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Oct 24, 2021

this course is helpful and the video aspect is fine.

how can we have access to the videos covered in each course? i need them for my personal revision. is very important to me please.

By Nugraha S H

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Mar 21, 2020

As I'm not familiar with US healthcare system, the case study given in this course is very confusing to me as there are many unfamiliar words and terms being thrown here and there.

By Gayatri H

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May 31, 2020

The final assignment is not very specific. Its's largely open ended and left up to individual discretion. Please make it quiz based or project based, where results are definitive.

By Vara P

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Jun 22, 2020

The core part of the methodology is not properly covered, it would have been better if the technical information such as tools and the modeling strategies are discussed in depth.

By Farzana S

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May 14, 2020

The course was OK but not up-to the Mark,the case study was quite tough to understand,the case study could have been something simpler so that the beginners can understand well.

By Ryan K

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Nov 8, 2018

Using a case study to illustrate the ideas is great. But it will be better if a less complicated example can be used to help following the concepts easier and better understood.

By Chetan K

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Jan 16, 2020

An easier and more relatable case study would exponentially increase understanding. The present one had complex medical terms and added a layer of complexity to the course.

By adwayt n

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Mar 5, 2019

It was very theoretical and, at times, a little boring as well. I was hoping for more of a hands on experience. But it was definitely very instructive and educational.

By Ramkumar G

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Sep 24, 2019

Since we are following a track, the previous two courses were basic and in this course we came across to lot of data science terminology without proper introduction.

By PHILIPPE L F

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Mar 28, 2024

I found it less instructive that module 2 (Data Science Tools). Also, I could not use properly the lab modules. I had some message error when I run the code cells.