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Learner Reviews & Feedback for Data Science Methodology by IBM

14,447 ratings
1,660 reviews

About the Course

Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. Accordingly, in this course, you will learn: - The major steps involved in tackling a data science problem. - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. - How data scientists think! LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews


May 14, 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 27, 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.

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476 - 500 of 1,646 Reviews for Data Science Methodology

By sherryz

Sep 18, 2018

Helpful Data Science Methodology introduction with good use case examples.

By Bishwapriyo C

Aug 04, 2020

Loved the way the instructor tied all the concepts to real-life examples.

By Ralpheal L

May 06, 2020

I've learned a lot in this course, especially the Data Science framework.

By Christopher H

Dec 30, 2019

This has to be the most challenging course on this site. Brain exploding.

By Reza D U

Dec 27, 2019

Great course to teach you to understand how data science 'machine' works.

By Niala I O

Dec 12, 2019

It provides a practical approach to the methodology used in data science.

By Narendra H

Nov 21, 2019

The best part about this course is that you learn using Jupyter Notebook.

By Alaa E B

Sep 27, 2019

Complete course about data science methodology, with real-life case study

By Aloke D G

Sep 08, 2019

Very informative and cover the whole life cycle of a data science project

By Manohar N

Oct 11, 2018

Excellent course content, Extremely satisfied. Thanks to course designer.

By Kanupriya

Jun 03, 2020

Well compiled to understand the nuances of different data methodologies!


May 03, 2020

This is unique and good syllabus. I dont regret spending my time on this

By Parth P

Feb 27, 2020

It is an excellent course. All the CRISM-DM steps are clearly explained.

By Arun N

Feb 16, 2020

This course helped me in writing the approach note for real-life project

By Ravi N

Jan 02, 2020

I was a bit distracted... but reviews helped... and thanks for extending

By syed m a

Nov 05, 2019

excellent and informative for someone who just started with data science

By Shaheryar

Sep 11, 2019

One of the best courses I currently had. Explains things in good manner.

By Rafael D

Jun 05, 2019

This course was better than the last, clearer and with better exercises.

By Ankur S

Apr 05, 2020

Very nice course to explain all the phases of data science methodology.

By Piotr M

Feb 24, 2020

A short course to give basic understanding of data science methodology.

By abhishek p

Oct 21, 2019

this is really helpful to understand the concepts of data science cycle

By Cristian O R R

Oct 05, 2019

It's great that you see a study case when you're learning something new

By Winston B C

Sep 05, 2019

i like the course but i do think you need more detailed demonstrations.

By Emi H

Jun 06, 2019

It is a good course for gaining foundational knowledge in data science.

By Vinay K M

May 29, 2019

Course will explain in details of reporting and how to collect the data