Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

20,942 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

Jul 6, 2019

I like the way they provide sample with food preparation on each of the stage of data science methodology. Need to give more sample for the study case to give more insight and understanding.

Nov 29, 2019

This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).

Filter by:

1576 - 1600 of 2,651 Reviews for Data Science Methodology

By Aleksei E

•

Nov 3, 2019

Excellent!

By 01fe18bec055

•

Sep 11, 2019

Very nice!

By Sérgio Á d A

•

May 23, 2019

Fantastic!

By Mahesh A

•

Jan 1, 2019

Nice topic

By Khadija S

•

Dec 30, 2018

Excellent!

By Ahmed T

•

Nov 24, 2018

Amazing :)

By Gregory R G J

•

Oct 24, 2018

Thumbs Up!

By ANIL K G

•

Aug 3, 2025

Excellent

By Ánh T N

•

Jul 20, 2025

very good

By Nguyen T

•

Aug 1, 2024

very good

By Ali M H

•

Sep 4, 2023

very good

By Eswar R T

•

Aug 7, 2023

Excellent

By Nibian B A F M

•

Jul 13, 2023

Very good

By Alejandro A D

•

Jul 7, 2023

Excelente

By Kavishka M

•

Jun 28, 2023

Very good

By Bùi Đ H

•

Mar 20, 2023

very nice

By Maram A A

•

Jan 18, 2023

thank you

By Deleted A

•

Dec 29, 2022

thank you

By Daniela B

•

Nov 21, 2022

loved it!

By Mohamed a

•

Nov 7, 2022

great one

By Ruslan B

•

Jul 19, 2022

excellent

By Yogesh Y

•

Jun 21, 2022

Very Good

By Shreya C

•

Apr 3, 2022

Excellent

By KANAGADHARSHINI A

•

Nov 15, 2021

very good

By Hendrie K

•

Aug 17, 2021

Very good