Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

21,022 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 2,682 Reviews for Data Science Methodology

By Liu C

•

Mar 2, 2019

very useful

By Ravichandrikha.B

•

Apr 30, 2025

good hbh

By Sugeng W

•

Jun 13, 2024

Bermanfaat

By AbdelRahman E E B

•

Dec 23, 2023

ممتازة جدا

By Clara C

•

May 27, 2023

Excelente.

By Victor V F

•

Jan 21, 2023

It's great

By Saad R

•

Nov 20, 2022

I loved it

By Mohammad A

•

Oct 3, 2021

هف هس لخخي

By Satish w

•

Sep 15, 2021

excellent.

By Paulo E

•

Aug 25, 2021

Muito bom!

By Sergio A

•

Aug 23, 2021

Nice info!

By Diego A M G

•

Aug 13, 2021

Excelent ¡

By Glenice S

•

Nov 15, 2020

Excellent!

By Steve C

•

Jul 6, 2020

Very clear

By Jhansi l M

•

May 25, 2020

Thanks IBM

By Ifzal A M

•

Apr 18, 2020

excellent.

By swasti k

•

Mar 6, 2020

Execellent

By Батдорж Ж

•

Feb 12, 2020

Like Like!

By Aleksei E

•

Nov 2, 2019

Excellent!

By 01fe18bec055

•

Sep 10, 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!