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Learner Reviews & Feedback for Data Science Methodology by IBM Skills Network

4.6
stars
18,803 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. Most of the established data scientists follow a similar methodology for solving Data Science problems. In this course you will learn and then apply this methodology that can be used to tackle any Data Science scenario. The purpose of this course 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 practicing data science - Forming a business/research problem, collecting, preparing & analyzing data, building a model, deploying a model and understanding the importance of feedback - Apply the 6 stages of the CRISP-DM methodology, the most popular methodology for Data Science and Data Mining problems - How data scientists think! To apply the methodology, you will work on a real-world inspired scenario and work with Jupyter Notebooks using Python to develop hands-on experience....

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 :)

TM

Jun 18, 2021

Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!

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1826 - 1850 of 2,345 Reviews for Data Science Methodology

By Shuyuan C

Jun 21, 2019

A good introduction to get useful skills for data analysis process.

By Pragya A

Jun 17, 2019

more explanation is needed.....example of hospital is not so easy.

By AYUSH A

Jun 6, 2019

case study in videos is less understandable but in ungraded notes.

By Matthew A

Apr 1, 2019

Very comprehensive view of methodology with real-world case study.

By ROBERTO I D L R C

May 22, 2021

I have a bigges scenario of how to manage a Data Science project.

By Jeroen O

Dec 14, 2020

Good course......it provides a good intro to the CRISP Framework.

By Ridhi S

May 13, 2020

It was a good one, but try to take a simpler case study material.

By Ravindra D

Nov 13, 2019

Good course primary focus on methodology (a theoretical approach)

By Nicklas N

Jan 17, 2019

A good overview of the scientific method applied to data science.

By NARENDRA E

Apr 13, 2022

The course is covering all the phases of DataScience Methodology

By Russell K

Feb 23, 2020

peer graded assignment was graded unfairly for first submission.

By Siwei L

Jan 8, 2020

Case of heart failure not common enough for a easy understanding

By christopher r n

Jun 13, 2020

the github was hard to follow and the was some technical issues

By yonghui f

Feb 28, 2020

Kind of basic knowledge, give you a thought about data science.

By Beast C R

Sep 17, 2019

Good information. More interaction and less video would be nice

By Hamza Z A

Nov 22, 2018

A bit more descriptive videos could have made this even better!

By Ibraheem K

Jan 8, 2022

Easy course, prepares you to have a clear mind about the topic

By Ritvik S

Sep 1, 2020

Very good explanations and well-guided throughout the course.

By Nagarjuna K

May 29, 2019

very good support to Coursera IBM Data Science certification.

By ROBERT R

Mar 1, 2021

Tough, for my first set of data science courses, but doable.

By 郑上

Apr 10, 2020

the final exam is not easy,I uploaded it for three times....

By Nirav

Jun 7, 2019

A common example could be easier to understand for everyone.

By Viet H N

Mar 27, 2020

The example about medical in videos is hard to understand.

By Jayesh M

Aug 16, 2019

Use cases could be given from different industry as well.

By Vivek N

Jul 28, 2019

Language of Presentation was very difficult to understand