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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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1701 - 1725 of 2,502 Reviews for Data Science Methodology

By Ariana L

•

May 17, 2018

Good for those just getting into data science/analysis that don't know the full circle process beyond the number-crunching. For those that have produced full-scale deliverables, not entirely necessary, although you could get through it in a relatively short amount of time.

By Violaine L

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Apr 29, 2020

Really nice to have applied labs in a JupyterNotebook environment. The student can even replicate the codes (if wanted) in its own notebook.

Some improvement opportunity: add a lab in the 5th module. Also, the definition of training set vs. test set is a bit unclear, still

By Chairul A

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Jan 21, 2020

Great intro course for methodology used by data scientists. The optional Jupyter lab exercises are also great. However, I think the lectures can be improved further. I have watched better videos on youtube with less production value, and read better blog posts out there.

By Muhammad S H

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Jan 13, 2020

Good course. However, I think the concepts are a little tough to understand at this stage. Maybe this course can be provided at a later stage after other concepts such as Python development are covered. Also, the content of the videos should be made more easy-to-digest.

By Rahul J

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Mar 8, 2021

A very good course outlining a Data Science framework on approaching data science problems. If this methodology is applied to a data science problem, one can effectively determine how to proceed forward with a clearly structured plan thereby saving time and resources.

By Ugochi K I

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Jul 4, 2023

This course was intense for a beginner in Data science and I love the challenges which pushed me to explore further and read wider. However I do feel more examples on application of the data science methodology should be given. In any case, it is a wonderful course.

By Diego L

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Apr 9, 2020

The course was great to have a panoramic about the methodology apply for a Data Science Project. The only reason I have not given the highest mark is because, from my point of view, some explanation was too much short to understand the meaning of an analytic stage

By Sofya M

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May 9, 2020

I really liked the course. However it was pretty challenging for me as i don't have any background in this field. I would prefer a little bit more detailed explanations on the topics so that it would be easier to understand all the models and other topics covered.

By Berkay T

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Aug 30, 2019

Overall content of the course is good, but I think a clearer, more common example could have been selected over congestive heart failure. Also sometimes there is a confusion between the elements of methodology, so a reading to complement videos could help a lot.

By Robert T

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Jun 14, 2019

I thought that the material was certainly important, but felt that the quizzes were more memory of the videos rather than an intuitive understanding of the material. Maybe more case studies, or a less complex one might make the material more easily digestible.

By Michael A

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Oct 29, 2020

Information was helpful, and laid out the broad strokes of data science projects well. But, I feel like it could have been condensed and combined with some of the other courses to make one Intro to Data Science course with the tools and methods all together.

By Jack P

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May 31, 2019

Important overview to the systematic methodology of data science that can easily be overlooked. Interesting case study provided, along with another example in the assignments, showing that this methodology can be applied to all types of problems and domains.

By Brian B

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Nov 12, 2020

Good walkthrough of one methodology for data science research. Lightly covered each of the steps involved with both a case study (a real-life hospital readmissions scenario) and a hands-on practice one (analyzing recipes to determine what cuisine they are).

By Carol L

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Aug 26, 2019

I really like this course! I would like to know more about techniques a model statistics to understand more the processes in Analytic approach, data preparation and modeling and apply correctly in a specific situation in a data science project. Thanks!

By Djaber B

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Jul 13, 2019

Even though I used to work with data, I found the data science methodology a must course for a future data scientist. I like how each stage of data science workflow is summarized to a wheel where each stage communicates with others in an efficient way.

By Tom C

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Aug 12, 2021

Great content and framework. I enjoyed the explanation of how to follow the framework and how to carry out each step, along with learning what actions to take in each one. The only improvement I would suggest is better graphics and a better narrator.

By Bob D

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Sep 15, 2021

The first of the three courses that felt coherent and professionally produced. The material was nicely presented and thorough, although occasionally repetitive. Having a single narrator and a clear narrative made for a good learning experience.

By Girish B

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Jul 10, 2019

I loved doing the peer graded assignment but i thought it would have been better to put the course a little later as for newbies they tend to loose interest for the simple fact that the cant understand the codes at times put up in the notebooks

By Jesus C C

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Dec 28, 2018

The course is good and the content but I, as non native english speaker, would have preferred a clearer Case Study and avoiding questions in the Qualification Tests around it, as many term were not clear to me and some issues were quite subtle.

By Richard B

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Jan 30, 2020

Less than a minute after summiting my Final assignment it came back with peer review that was disappointing. I describe every data science methodology stage and the feedback for that section was that I describe some of the stages but no all.

By Ricko M

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May 17, 2020

Need to repeat some of the videos. Also I have to find different case study since at first you can't really digest some of the case study. But after tried different sources of case study, I managed to grasp what's the author trying to tell.

By Débora Y

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Sep 22, 2020

Gostei muito, achei muito bom pra introduzir conceitos básicos e ir se ambientando ao pensamento de data scientist, mas um problema foi não ser mais explorado alguns conceitos e tecnologias. Acredito que o curso poderia ser mais longo.

By Yongda F

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Jul 16, 2019

I think this course is quite brief, some of the terminologies are not well explained. But overall, this gives some insight into data science and is a pretty good introductory course. I hope this course can have more detailed knowledge.

By Anagh S

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Oct 20, 2022

The case study in the video was pretty complex to understand. Thankfully the case study taken in lab ( japanese dishes) was very simple and easy to understand. Overall a good course to understand the methodology used in data science.

By usman k

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May 19, 2021

Slides needs to improved , text spoken should be presented in text form in Video as well. Over coverage is comprehensive very informative , for learning purposes text should be presented. over exercises and tests are very high quality