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

4.6
stars
17,915 ratings

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!...

Top reviews

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!

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 :)

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2026 - 2050 of 2,222 Reviews for Data Science Methodology

By Divya m

Jan 31, 2019

Concepts could be even more clear and understandable because this seems to be important subject

By piyush d

Aug 13, 2019

explanation could have been better along with examples. It felt more like reading a text book.

By Jacqueline ( G

Jun 3, 2019

I think the example on IBM is good, but on the lecture slide is not very easy to understand.

By shenghui

May 18, 2020

personally, I think it is a bit wordy and the pictures in slides are of low resolution.

By Tanmay K

Apr 27, 2020

Statistical Tools were not explained in detail. Hence at one point it was confusing.

By Prem K

Sep 7, 2021

Overall course is good. But am unable to receive the certificate of this course.

By KU B K

Jan 28, 2020

The case study is a bit hard to follow and the explanations are bit too general.

By Cornea D A

Sep 12, 2019

Some summarized text support would have been useful for the final assignment.

By Hassan B

Aug 20, 2019

It's good course but still need more explanations and examples to be clearer.

By amir s

Jun 7, 2019

The assignment is not very clear. The example had better to be more iterative

By frocchio@hotmail.it

Nov 1, 2018

a slight bit more technical than the previous two courses. Getting there ..

By Ulvi S

Jul 24, 2021

It could be prepared much easier. It is hard to understand for non-natives

By Hiral M

May 1, 2020

Examples and case study in video of CHF was a bit difficult to understand.

By Minsung K

Nov 1, 2021

Personally, very dull course material; please generate me a certificate.

By Yadder A

Dec 7, 2019

I think that should have more information. And quizzes should be harder.

By Taimore I A

Jul 30, 2019

Case study should be covered in more detail. The other content is good.

By Nidhi K

Jun 13, 2022

This module would be more beneficial after learning basic ML concepts.

By Harshit k s

Jun 12, 2020

The case study was not that good, some good examples need to be added.

By Ariel E

Jan 31, 2019

I'd like to see exercises where we can practice the methodology phases

By Fabrice A

Oct 7, 2019

the video lectures was really fast making it difficult to understand

By Philipp K

Jun 12, 2019

too much information on slides. Use more pictures for visualization.

By Hareesh T

Jan 31, 2019

An introductory overview of what Data Science actually is meant for.

By Vasudev S

Jun 7, 2020

Make this course more intuitive rather than being just all theory.

By Gokul N

Apr 18, 2020

Too theortical course ,could have an eaiser case study to explain

By Mohammad Q

Aug 21, 2019

Good Methodolgy but I feel like I need more explaination about it