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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
19,896 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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2226 - 2250 of 2,502 Reviews for Data Science Methodology

By Marnilo C

Apr 25, 2019

The discussions were too introductory. This would be acceptable had there been links to resources which provided more detailed information on this important topic.

By Micatty B

Dec 9, 2019

The final assignment is not clear

Data preparation and modeling quite confusing for someone with no prior knowledge in data manipulation and statistical background

By Kuldeep R

Jul 10, 2022

COurse provides some initial theoretical information but the practical exercises are ofno use. Proper schedule of practical be followed and the instructions for

By Jayan T

Oct 22, 2018

Its an important topic for data scientists, but wish it was taught in a more interesting way with multiple examples of different types instead of one case study.

By Siddhartha P

Apr 21, 2019

Very short and filled with too much jargons. A much simpler case study would have been great instead of deep diving into the world of Life Science & Healthcare

By Declan H M G

May 13, 2019

I found the material here vague and difficult to follow at times. Which led to confusion particularly about what was expected with the peer graded assignment.

By Vladislav G

Jan 25, 2020

Well, when the previous courses in the specialization were a total waste of time, this one is adequate, but still not very usefull for data science itself.

By Wilbert V G

Jun 3, 2021

The speaking is too fast and the slides don't help much to follow up the explanation. I found it is better just to read the transcript at my own pace :-)

By Alok M

Jan 12, 2020

Better problems (more generalized and relatable) could have been used to describe and make the modules understand better. Not satisfied with this course.

By olu

Mar 31, 2020

Teaches what it's supposed to but could be more indepth in establishing your understanding of the process of methodology from Analysis to Evaluation

By Alirz110

May 4, 2021

This information is replicated and immersed in the workplace of a data science expert.

In my opinion, there was no need to attend a separate course.

By Lahiri B

Oct 13, 2020

Questions asked during the course videos were repetitive and three of them could not be submitted due to some error, despite trying multiple times.

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.