Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

21,052 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

Nov 18, 2023

Great course by IBM. Would like instructors to have better communication skills. As the instructor in week 2 and 3 did not have that strong communication skills as compared to week 1 . Overall 8/10

May 17, 2021

A bit more complex than what I would have hoped, but the material is still digestible. I think this course could be improve if the lecturer slow down a bit and spend more time on each topic

Filter by:

1751 - 1775 of 2,684 Reviews for Data Science Methodology

By SAWETACHOTE W

•

Oct 5, 2021

Good

By Zubairali

•

Sep 23, 2021

Good

By Sonu K

•

Jun 25, 2021

nice

By Farhan s

•

Apr 24, 2021

good

By NARENDRA K G

•

Aug 20, 2020

nice

By SREERAM K V S U

•

Jul 11, 2020

good

By Chathura S

•

Jul 9, 2020

good

By Nazim S

•

Jun 28, 2020

best

By Jaladi N

•

Jun 12, 2020

good

By Shreyank J

•

Jun 5, 2020

good

By Golla M

•

Jun 1, 2020

GOOD

By crazy v V

•

May 4, 2020

good

By 西村太希

•

May 2, 2020

Good

By Naveen S P

•

Apr 23, 2020

BEST

By pawan s

•

Apr 11, 2020

....

By Camilo Q

•

Apr 4, 2020

Nice

By Pankaj S

•

Mar 11, 2020

good

By Priyanka R

•

Mar 11, 2020

Good

By Priyansh P

•

Feb 26, 2020

good

By KOPPARTHI H H

•

Feb 24, 2020

good

By Rushikesh J

•

Dec 1, 2019

Best

By Yuliana K

•

Sep 7, 2019

exce

By Deleted A

•

Sep 4, 2019

good

By Prabhu M

•

Aug 31, 2019

good

By Inggriani W

•

Jul 17, 2019

none