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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,492 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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2451 - 2475 of 2,583 Reviews for Data Science Methodology

By Tony W

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Nov 9, 2018

The example topic is not easy to understand for people work outside hospital, it is better to use some common examples such as email and credit cards that more easily understand the flow. Too much technical terms and explain too fast.

By Michael F

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Jun 15, 2020

Needlessly complicated, and could be offered in much simpler examples, the expressions and case study is very irritating to understand due to complex description. Also the context of the course could be offered in much simpler way.

By Bivek n

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Dec 6, 2019

It is a bit too fast for the beginner students to fully grasp the idea. I mean of course, the topics of methodology looks fairly straight forward but the explanation and example used in those topics are not explained in detail.

By Fedrizzi E

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Feb 4, 2020

The methodology presented is useful, and can be a good reference for those new to the subject. However, it is not always clearly explained, and as in previous courses too many technical terms are employed without definitions.

By Matthew E

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Oct 20, 2019

The sites have changed so following the directions of this course were very confusing and hard to understand. The update from Data Science Experience to IBM Watson studio did not relate to the video demonstrated in this class

By A L I S O N

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Jun 15, 2019

The final assignment had me ham strung. You are supposed to do each of the 10 steps at the end, with very little guidance on HOW. The there are specific methods shown but what if they don't fit your final assignment example?

By Varun P

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Apr 13, 2020

I feel that the course is not vary interactive and in some cases it seems to be more like a commentary than an interactive session. Due to that its difficult to understand the basics of some of the important concepts.

By Vannessa C (

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Nov 11, 2022

Jargon was used interchangeably and material was not presented clearly as to what stage it belonged in (data understanding vs data prep and what could be done at each step. Similarly with the types of analysis. ) .

By Andrew W

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Oct 9, 2019

Not as engaging as previous courses. Feels like too much concentration on the healthcare case study, rather than the concepts. More of the key points should be on the slides (for the visual learners among us...)

By Berenice E

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Feb 8, 2020

No hay suficiente información y el "instructor" no es el mejor en esta sección. En general este apartado fue muy aburrido pero no por el material sino por el tipo de videos sin instructor y solo diapositivas.

By Yassine D

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Jul 6, 2022

The delivery is so dull.

The slides are not enough attracting and sometimes contain a lot of information.

Quizzes are so accessible to the point that you don't need to listen to the course.

Absence of practice.

By Thinh N

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Oct 2, 2018

I really like the methodology proposed and introduced in this course. However, the whole idea can be summarized in less than 2 pages, which should be a section (a week) in a data science course (~13 weeks).

By Nathaniel K

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Sep 5, 2019

Videos get a bit boring. I would prefer less videos and more reading about the methodology. I google IBM Data Science Methodology and got more useful information. Why pay for a course that can be Googled?

By Kiran H S

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Apr 21, 2020

Case study should have been on simpler example / general topic which everybody would understand or correlate easily. Medical field terminologies / relations would be a black box for most of them

By Walid M

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May 6, 2020

i believe the content is targeting more experienced audience, along the course it was bit hard to keep track of all information and the final assessment also aimed for higher level of knowledge

By SG

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Jan 6, 2020

Complicate course with poor valuation system. It contains a lot of basic information but without detail clarifications. I read external resources for a complex understanding of the material.

By Katarina P

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Jun 15, 2019

The peer review system is just awful. It takes ages to get graded/be able to grade others and the peers might not demonstrate language level required for grading an essay-type assignment.

By Alejandro C

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Oct 22, 2019

"Ungraded external tools" are not avaliable. For me, the applied example using medicine was hard to follow. Perhaps something less complicated could help explain better the problem.

By Oguz A

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Dec 23, 2024

Concepts were very hard to understand, they didnt explained well. Examples are so complicated. I think all these parts should be though in more simple way with more clear examples.

By Xinyi W

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Jan 7, 2020

Too theoretical and the medical example was such a bad, hard to follow one for the course!

It could be content for one week instead of making it to a full-length 3-week session.

By Nuttaphat A

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Jun 4, 2019

Well, I would say this course has been disappointing so far. I hope it gets better soon. Otherwise, this will be the worst online course I have ever taken in my entire life,

By Sergio R R

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Apr 19, 2020

It is a bit too basic and vague. The methodology they propose and the supportive material is useful and interesting bur there are many gaps on the hands-on training.

By Iago T P

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Apr 20, 2020

The course is quite theoretical, I would appreciate more reading material. I don't think that the best way to explain the concepts are by using video lessons.

By Jake Z

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Jan 21, 2020

The quizzes focus too much on the nitty gritty details of the case study, so it is easy to get lost in that and forget the big picture of the methodology.

By Phil C

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Sep 21, 2020

The videos were very monotonous and frankly quite boring. The content was clearly delivered, but the assignments did not reinforce what was being taught.