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    Back to Data Science Methodology

    Learner Reviews & Feedback for Data Science Methodology by IBM

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    4.6
    stars
    20,749 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 ...
    ...

    Top reviews

    AG

    May 14, 2019

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    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 27, 2020

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    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.

    Filter by:

    2501 - 2525 of 2,618 Reviews for Data Science Methodology

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    By Alejandro C

    •

    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.

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    By Oguz A

    •

    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.

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    By Xinyi W

    •

    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.

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    By Nuttaphat A

    •

    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,

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    By Sergio R R

    •

    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.

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    By Iago T P

    •

    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.

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    By Jake Z

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    Jan 22, 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.

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    By Phil C

    •

    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.

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    By Magdalena R

    •

    Nov 6, 2018

    The course is interesting but I don't like robotic teaching. I think is missing some human interaction like other coursera courses I've done where you

    Filled StarFilled StarStarStarStar

    By Abdelrahman A

    •

    Dec 5, 2023

    poorly explained. Exam answers when answered, sometimes it gives you true answer and sometimes wrong answer even though i gave the right answer.

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    By Rinny J

    •

    May 25, 2019

    The course materials need updating. The IBM platform has changed which has made it hard to maneuver the website and follow the directions given.

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    By Sha'Neice M

    •

    Feb 27, 2020

    This needs to be revised. Its very confusing, you need more assignments between lessons so that we can show we understand what we have learned

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    By Devraj S

    •

    Jun 5, 2019

    This course can have an easy example to explain the methodology for Data Science but there are hard ones and I really don't like it that much.

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    By Dhanush R

    •

    Sep 17, 2021

    The case study was too difficult to understand. I wish a more easier case study was picked to elaborate the datascience methodologies on it

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    By Elvijs M

    •

    Apr 17, 2020

    Maybe of interest to people who have no clue about any sort of methodology or problem solving. Too boring and repetitive for everyone else.

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    By Saumitra P

    •

    Nov 20, 2021

    Not good for beginners, the CHF example was complex and I think this course should be updated with better examples and explanations.

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    By Zamiur H

    •

    Sep 27, 2023

    I feel this course is not up to mark. More reading materials should be provided. It will help learner to understand the concept.

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    By Jennifer M

    •

    Mar 16, 2020

    Terrible. Very basic. The tool tasks didn't work- timed out. Has no one to grade when it was over. I hope these get better.

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    By Georgios G

    •

    Nov 5, 2019

    I felt that the course was ill prepared. Also I did not like the explanation using the food example. It was not clear

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    By Dina K

    •

    Sep 22, 2019

    I would have liked for the course to go more in depth of the statistical tools. It was confusing and hard to get.

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    By Aymal K K

    •

    Dec 5, 2019

    The case study should have been a general case bit specific to health its difficult to get around the course.

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    By Taha

    •

    Sep 8, 2020

    This is the 3rd introductory course in this professional certificate. I am yet to learn something useful.

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    By Amit K

    •

    Apr 18, 2020

    Examples are not clear. wasnt able to understand the methodology so well. Please use lay man examples.

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    By Fábio S V

    •

    May 3, 2019

    The methodology could be more explained, with different examples and the steps could be better explored.

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    By NEHA W

    •

    Apr 13, 2020

    The case study in the video is quite boring and it was very time consuming to understand the it.

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