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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,486 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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726 - 750 of 2,583 Reviews for Data Science Methodology

By Alaa E B

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Sep 27, 2019

Complete course about data science methodology, with real-life case study

By aloke d G

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Sep 8, 2019

Very informative and cover the whole life cycle of a data science project

By Manohar N

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Oct 11, 2018

Excellent course content, Extremely satisfied. Thanks to course designer.

By Paritas S

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Jan 3, 2023

This is valuable with reasonable my workload.

5 starts for 'Less is More'

By Jalal R

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Apr 28, 2022

It was very usefull course, I like to follow other course in this series

By kanupriya k

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Jun 3, 2020

Well compiled to understand the nuances of different data methodologies!

By kiran v

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May 3, 2020

This is unique and good syllabus. I dont regret spending my time on this

By Parth P

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Feb 26, 2020

It is an excellent course. All the CRISM-DM steps are clearly explained.

By Arun N

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Feb 16, 2020

This course helped me in writing the approach note for real-life project

By Ravi N

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Jan 2, 2020

I was a bit distracted... but reviews helped... and thanks for extending

By Syed M A

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Nov 4, 2019

excellent and informative for someone who just started with data science

By Shaheryar

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Sep 10, 2019

One of the best courses I currently had. Explains things in good manner.

By Rafael D B

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Jun 5, 2019

This course was better than the last, clearer and with better exercises.

By Overs M

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Oct 13, 2022

An exciting , educative course in the professional data science series

By JOHN D K F

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Jul 26, 2022

The course is extremely beneficial to one's career and personal growth.

By Dickson M K

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Oct 4, 2021

Organized, well-articulated and informative. The instructor was amazing

By Juan A M C

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Sep 3, 2021

This course helps to understand all the methodology behind data science

By John L

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Jan 7, 2021

Excellent input, It will be very helpful for us students in the future.

By Dheeraj k S

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Nov 5, 2020

A clear step-by-step guide to approach a problem to solution with Data.

By Ankur S

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Apr 5, 2020

Very nice course to explain all the phases of data science methodology.

By Piotr M

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Feb 24, 2020

A short course to give basic understanding of data science methodology.

By abhishek p

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Oct 21, 2019

this is really helpful to understand the concepts of data science cycle

By Cristian O R R

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Oct 5, 2019

It's great that you see a study case when you're learning something new

By The L B D

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Sep 4, 2019

i like the course but i do think you need more detailed demonstrations.

By Emi H

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Jun 6, 2019

It is a good course for gaining foundational knowledge in data science.