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

4.6
stars
18,798 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!

Filter by:

1001 - 1025 of 2,345 Reviews for Data Science Methodology

By Sparsh K

•

Jan 16, 2019

Please do check the submission fast.

By Frank T

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Jun 15, 2022

It is technical and comprehensible.

By Abraham M

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Feb 16, 2022

Data Science Methodoligies well put

By Adarsh S

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Jul 14, 2021

course was good and easy to follow.

By Lucretia L

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Apr 20, 2021

Excellent material for this course.

By Ali H K P

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Feb 12, 2021

Very good explanation on CRISP - DM

By Madhuka P

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Jun 18, 2020

A very good course. worth the time.

By Fares H

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May 6, 2020

very good course I've learned a lot

By Eduardo B

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Nov 18, 2019

More detail on CRISP would be nice.

By Malcom B

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Aug 9, 2019

Excelent blueprint for future work.

By Sk W A H

•

Mar 15, 2023

Good content with deep knowledge .

By NGUYEN M M T

•

Sep 29, 2022

I learned a lot from this course.

By Kenneth T

•

Sep 10, 2021

This course is highly informative.

By Venkata S

•

Nov 19, 2020

Very good high level view about DS

By Rehman C

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Jun 4, 2020

loved the course, helped me learn.

By Ekaterina P

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Apr 13, 2020

Learn to think as a data scientist

By Andrea S

•

Jan 22, 2020

Best course so far in IBM program.

By Nicholas J F

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Apr 19, 2019

Very good overview of the process.

By MANIK G

•

Mar 22, 2019

well drafted course for beginners.

By Carlos M D

•

Sep 5, 2022

Very informative and interesting!

By Mohamed F

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Apr 12, 2021

Excellent, clear and to the point

By Md. A A M

•

Apr 2, 2021

Great Course. Highly Recommended.

By Hüseyin C

•

Mar 24, 2021

Great content and optimal lenght.

By Josip Å 

•

Feb 16, 2021

Great course, highly recommended!

By venkatesh p R

•

Nov 3, 2020

Business Side of the Data Science

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