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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,241 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

DP

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This course covers the end to end cycle suggested framework that can be useful not only in Data Science but also in other Research Projects that manage information to create and deploy a solution.

CE

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The course is well structured but the case studies were not well elaborated, felt like I was struggling to understand. Also, Data science methodology should be taught after a course in Python.

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751 - 775 of 2,557 Reviews for Data Science Methodology

By Ray F

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Jul 24, 2020

Good overview on how Data Science is applied to business applications.

By rohan j

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Jul 14, 2020

This Course was great for Acknowledgment Of Data Science Methodology.

By PRUDHVI

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May 25, 2020

This course gave me an excellent overview of Data Science Methodology!

By Ahmed E

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Jan 10, 2020

Very useful course, simply structured and all steps are well explained

By Jhonny J C R

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Dec 2, 2019

Excellent way and examples to explain the methodology in data science.

By Олег Я

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Nov 15, 2019

Very interesting course, help me to understanding all projects stages.

By Joshy J

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Sep 14, 2019

The best course to get an understanding about Data Science methodology

By Salin K D

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Aug 15, 2019

Very nice course to gain knowledge on different stages of data science

By Alex C

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Aug 13, 2019

This class was a true demonstration of the work a data scientist does.

By Sunil K

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Oct 12, 2018

Great course for beginners to develop the intuition about Data Science

By Yiannis B

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Oct 28, 2020

A very useful methodology providing a concrete way to reach the goal.

By BURHAN Y

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Sep 21, 2020

The course was very instructive, thanks a lot for all your effort! :)

By Y. C M M

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Jul 15, 2020

La teoría es excelente y los laboratorios lo que más me ha interesado

By Luis A R

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May 13, 2020

Excellent methodology and it can be apply to any aspect of your life.

By Yau W K

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Jul 21, 2019

Very informative process of how Data Science is practiced in industry

By Magnus B

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Feb 21, 2019

Information was easy to understand and was provided in a good layout.

By Yuqi L

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Dec 27, 2023

I think it is a very good start to understand the Data Science work.

By Angelina C

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Sep 29, 2023

Aprendi bastante, e o método de ensino é super funcional e flexível.

By Khadijah P

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Nov 27, 2021

The course was amazingly thorough and clear. Can't recommend enough.

By Brandon D

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Sep 23, 2021

Good overview and specific about how data science methodology works.

By Dustin E

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Jun 27, 2021

Great short course filled with knowledge and great examples. Thanks!

By Muhammad I

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May 28, 2021

Very good course and help me understand step by step in data science

By Luis A R N

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Dec 25, 2020

Optimal to understand how to proceed in the way to answer a question

By ANDRES A C H

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Oct 4, 2020

Course IBM Data Science Methodology is complete and very interesting

By I. Z

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May 10, 2020

A very comprehensive guideline on designing data science methodology