Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

19,946 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

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 :)

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:

1426 - 1450 of 2,510 Reviews for Data Science Methodology

By Ricardo R

•

Apr 30, 2019

Ótimo Curso!

By pankaj k

•

Mar 21, 2019

nice course.

By Geetha S

•

Mar 11, 2019

Very helpful

By Irshad P

•

Feb 24, 2019

Excellent!!!

By B R P K

•

Feb 1, 2019

great course

By José L P C

•

Jan 1, 2019

Great course

By Vijay V

•

Nov 27, 2018

very useful!

By Lin L

•

Nov 21, 2018

great course

By Vasileios M

•

Nov 5, 2018

Thank you!!!

By Stefano S

•

Sep 26, 2018

Very usefull

By Shraddha D

•

Aug 8, 2023

nice course

By Priya N

•

Jul 30, 2023

I love this

By Md A

•

Jul 3, 2023

good course

By Eduardo M

•

Apr 14, 2023