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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,392 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.

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1951 - 1975 of 2,571 Reviews for Data Science Methodology

By Language L

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Feb 21, 2020

Good lesson, but some of the explanations could have been better or maybe less dry.

By Maksim M

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Mar 13, 2019

I got a general idea of Data Science methodology and the flow of a research project

By Richard D

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Apr 18, 2024

Some videos were lacking English transcripts which make it a lot easier to follow.

By Rithwik P

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Apr 26, 2020

I feel it could be a little more simplified near the modelling and evaluation bits

By juadolfob

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Mar 31, 2020

Too many videos, I would appreciate more lectures.

The labs are really great !!! :)

By Vaibhav A

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Apr 6, 2020

Didn't find enough explanation on Machine Learning Model applied during modeling.

By Luis O L E F

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Nov 5, 2019

Nice introductory course for the basic steps to follow in a data science project.

By Mike

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Jan 29, 2019

Very good course. The example is a bit odd one - or we could say the explanation.

By Andrew A

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Jun 27, 2024

this course has given me more understanding of the business face of data science

By Keno K

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May 3, 2021

Good course on methodology, would prefer even more exercises like the final one.

By Mohammad S A

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May 3, 2019

I think the examples would be more precise to understand the methodology better.

By Jana A

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Mar 22, 2022

I love how it's delivered the aspects of the methodology in a simply clear way.

By David C

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Mar 13, 2022

good, straightforward presentation of a solid methodology with simple testing.

By Mariya M

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Feb 23, 2021

It may include a bit more datails and excercises, but overall very good course.

By Naveen S

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Apr 6, 2020

This course should be in more details. More practical is required for hands on.

By Nikhil C C

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Oct 17, 2019

Case study was boring and cannot understand without basic idea about the issue.

By Diganta D

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Mar 28, 2019

One of the most important course to do in data science and also a valuable one.

By Ray

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Feb 29, 2020

Great course, could use further explanation of some of the statistical methods

By Ankita S

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Feb 20, 2019

One of the main module to understand the data science process. Great content!!

By Sara E

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Oct 15, 2018

Could you please consider providing the slides it would be awesome, thank you.

By ajeet k

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Jun 20, 2020

This course very useful for how to use data for a particular business problem

By Julia N

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Jul 1, 2019

Peer-graded system is not suitable for this course. Or it should be improved.

By Juan B V

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Mar 22, 2024

Good development but I think it need it to get deep into the analytic models

By Muhammad M

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Jun 25, 2023

It can be improved by adding same case example in video and Jupyter notebook