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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,367 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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2301 - 2325 of 2,569 Reviews for Data Science Methodology

By SAMYAK S

Apr 14, 2020

It's good but I think the case study is not easy to understand and another case study must be included which easily makes you understand this topic

By Mark H

Jan 30, 2019

Course was ok. It's difficult to formalize data science into a generic methodology where subject matter expertise is separated from the process.

By Baptiste M

Oct 25, 2019

IBM Developer Skills Network tool is a complete disaster, spending more time trying to get what should have been a PDF than actually studying...

By Pedro C F

Feb 18, 2020

the case study is not easy for someone whos is doing it for first time, also you need more text for explaining the approach analytic.

D.S Pedro

By Jennifer K

Apr 4, 2019

The topic is super important and interesting. The content of the course was a bit hard to follow. More real-life examples may have helped.

By Sai T

Oct 22, 2019

The examples used were poor and the definitions of each stage were not concrete, workable definitions but rather very abstract definitions.

By Andrea M

Sep 6, 2019

I guess it is a good course for someone who has never taken any research methods. But having a PhD this course was quite useless for me.

By Patricia S

Oct 5, 2022

i think some concepts should be more explained. I got confused with the technical language of the course. More definitions could help

By Sid

Dec 1, 2019

The example/s (with all due respect to the good knowledge of the author) could be improvised, however

overall, an excellent course!

By Raymond P

May 11, 2019

I think it's a little bit vain to introduce in such way for some people without much background in statistics and machine learning .

By Александр Б

Nov 15, 2021

Хороший курс, но я не могу скачать свой сертификат. Обидно, потому что прошёл все задания, но значок не светится в личном кабинете

By Islam A M

Dec 13, 2019

the narrator is speaking fastly as i can't understand that with this high rate words with my little english experience in listening

By Amir M

Mar 23, 2023

Good course, but the case studies were not easy to understand. I think more examples are needed to elaborate the DS methodologies.

By christopher a e e

May 23, 2023

Realmente podrían ofrecer mas información detallada acerca de la metodologia e incluir actividades practicas que se puedan hacer

By Rushikesh J

Jun 23, 2021

The course has delivered basic understanding of the flow, but

1)No clear images in videos

2)This could have been more interesting.

By SATHESH M E

Oct 28, 2023

Need more videos from professionals and professors perspective. Now its only look like from only reading the ppts not teaching.

By Josep R C

Apr 22, 2020

Not a complicated course which gives you an accurate, intuitive and useful methodology applicable to any Data Science problems.

By AAKASH K

Apr 3, 2020

Lectures were informative but slow. Need to be more engaging to keep interest ongoing.I dozed off during certain lectures.

By João R d C

Dec 19, 2019

Some of the lectures were not very clear. This grading is based on a comparison with other courses in this specialization.

By Sylwia K

Mar 9, 2019

For me this part was a little too much descriptive and given example (hospital patients) is not very easy to understand

By Bhavesh S

May 27, 2020

Please change the audio track without earphones it is impossible for us to listen otherwise i would have given five.

By Ali I

Nov 4, 2019

Hi Dear Team ,

I thinks this course need more clarification and more details and examples.

Thank you fro your effort.

By Reinhard H J

Oct 4, 2019

Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.

By Michael S

Apr 13, 2020

IBM python online exercises were difficult to complete because of faulty online implementation. Content seems dated.

By Dung H

Feb 19, 2020

Overall is good, except the example of heart disease was too complicated to transmit clearly the idea of this course