Chevron Left
Back to Data Science Methodology

Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,367 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:

801 - 825 of 2,569 Reviews for Data Science Methodology

By Jingxia Z

•

Mar 11, 2020

Well demonstrating the whole process of Data Science Methodology!

By Sanzio G N

•

Mar 4, 2020

Great course. Much better and more meaningful than the first two.

By Jonathan B

•

Feb 21, 2020

Engaging from start to finish- and applicable at any skill level.

By Neha T

•

Aug 18, 2019

It really lets me understand the strategic approach to a problem.

By Angel J C V

•

Dec 27, 2018

Exceptional breakdown and the teaching approach is second to none

By Ajeet S

•

Dec 11, 2018

The best-est course for Data Science in the industry . Go for it.

By YOUSSEF M

•

Dec 2, 2018

One of the best courses, easy to understand and is very important

By Kelvin G

•

Feb 28, 2024

It is a very interesting course I had knowledge from this course

By enewe e

•

Nov 21, 2023

Very expository. The stages of Data methodology was well taught.

By Victor A

•

Feb 4, 2021

Great course to know how to approach a Data project step by step

By Chi-Yuen L

•

Jul 26, 2020

A nice introduction on a framework for data science methodology.

By Arjun T

•

Mar 23, 2020

Concise and good content addressing the overview of data science

By Josh H

•

Jan 9, 2020

very informative and the repetition makes it stick in your mind!

By Ella H

•

Nov 22, 2019

I learn about how interesting it is the data science methodology

By Sai R

•

Nov 14, 2019

Great Course. Truly amazed by learning Data Science Methodology.

By Abir F

•

Jul 13, 2019

Wonderful class. I learned a lot about the data science process.

By Teofilo E d A e S

•

Apr 2, 2019

Really good theory and overview about the basic of Data Science.

By Erwin V

•

Feb 8, 2019

Wish there was a complete specialization build around this topic

By Elise Y T

•

Dec 5, 2018

The Final Assignment was not so easy to understand how to do it.

By ShuTong

•

Nov 30, 2018

a little bit difficult for me, but strongly recommend to others.

By Rinrada K

•

Oct 6, 2018

Thank you very I have more knowledge and useful from this course

By Leke O

•

Sep 16, 2018

This a good course for all aspiring and current data scientists.

By Javier G R

•

Oct 6, 2022

A good explanation of how the data science work should be done.

By Mukhammad C

•

Oct 2, 2022

the lesrning process is well understandible and well organized

By Dhanesh T

•

Jun 7, 2022

Absolutely necessary for everyone starting out in Data Science.