Chevron Left
Back to Data Science Methodology

Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,435 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.

Filter by:

1126 - 1150 of 2,575 Reviews for Data Science Methodology

By Ayush G

•

May 22, 2020

its a pleasure to do this course

By Madhuranga T

•

Mar 29, 2020

It was a well elaborated course!

By Ramkumar Y G

•

Sep 21, 2019

good flow and example case study

By Rick L

•

Jul 30, 2019

Every section is well explained!

By VANAJAKUMARI D

•

Jul 4, 2024

very useful to my research work

By EJIRO C E

•

Feb 8, 2023

I learnt a lot from this course

By Caxton M

•

Dec 26, 2022

Excellent and very informative.

By Rahul B

•

Mar 6, 2022

Wonderful course for beginners.

By Raquel B

•

Sep 9, 2021

Great course I've learned alot.

By Agata

•

Aug 9, 2021

such a great course, thank you!

By Amanda H

•

Jul 11, 2021

Excellent course, learned a lot

By Fahad R

•

May 2, 2021

Very Informative Course, Thanks

By Bernardo A

•

Mar 24, 2021

Very good course for beginners

By Vivek K

•

Sep 12, 2019

Good Framing by IBM. Awesome !!

By Ashley B

•

Aug 18, 2019

Very thorough (most of all) :-)

By kiran S

•

Aug 12, 2019

good experience while learning

By Javier A B

•

Jun 4, 2019

Excellent methodology to follow

By liushuang

•

Apr 23, 2019

the methodology is very useful.

By alamelumuralidaran

•

Feb 7, 2019

Excellent course for beginners.

By Julian A S

•

Jan 20, 2019

Pretty simple, but pretty good.

By Tomola M O

•

Jan 18, 2019

Very informative and educating.

By Brian P

•

Oct 30, 2023

Very organized and informative

By Indushree M

•

Apr 26, 2023

Well structured and explained.

By Shamiso C

•

Jun 26, 2022

Everything was explained well.

By Christian U

•

May 23, 2022

I am rating coursera five star