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

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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.

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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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2101 - 2125 of 2,557 Reviews for Data Science Methodology

By Samuel O

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Jul 4, 2019

I learnt alot from this course

By Abhishek J

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Jan 27, 2019

More over theoretical course..

By Sai K K

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Aug 4, 2021

Good to Learn, Helps me a lot

By Ganesh N

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Oct 1, 2023

Extremely useful foundation.

By Saidi I

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May 10, 2020

It seemed a bit hasty for me

By Rohan S

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Aug 10, 2019

Good coverage of the topics.

By Souro C

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May 8, 2019

Good material for beginners.

By Basavaraj P G

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May 16, 2020

Explanation is really Good.

By Nícolas A d C M

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Jan 27, 2019

A bit confusing, but great!

By Farrukh N A

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Sep 15, 2019

Good Beginner Level Course

By liz a

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Jul 23, 2019

it was a great course, fun

By Richard v R

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Feb 15, 2021

Clear and easy to follow.

By Jaydeep D

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Nov 29, 2018

Good introductory course.

By Elijah A

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May 8, 2023

Excellent and Productive

By Olatoyan T F

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Jan 27, 2022

a very simplified course

By ANIL K

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Sep 30, 2021

The course is very nice.

By Mirjan A S

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Apr 26, 2020

This is Better Course..!

By Frank M S

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Apr 14, 2020

More labs would be nice.

By Simon H

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Oct 30, 2020

Some very good material

By Candi R

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Jan 31, 2020

the lab can be improved

By Hardik P

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Apr 17, 2019

Please improve pedagogy

By Guray C

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Mar 1, 2019

IT was very fruitfull..

By Tom M

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Dec 16, 2018

I will use this at work

By DHRUV K

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Mar 30, 2019

Great course material.

By Er. R K A C

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Dec 19, 2021

Nice and informative.