Chevron Left
Data Science Methodology(으)로 돌아가기

IBM의 Data Science Methodology 학습자 리뷰 및 피드백

4.6
별점
14,789개의 평가
1,710개의 리뷰

강좌 소개

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....

최상위 리뷰

AG

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 :)

JM

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.

필터링 기준:

Data Science Methodology의 1,696개 리뷰 중 1551~1575

교육 기관: SOURABH S

May 09, 2020

Very Theoritical Course, and honestly a bit boring as well.

교육 기관: Avinash K

Feb 19, 2020

Bit confusing - especially the analytical approach chapter.

교육 기관: Veera v p p P

Sep 08, 2020

Modelling and Evaluation needs more examples for beginners

교육 기관: Hassan A

May 17, 2020

Course is more on theory but less on practical approach

교육 기관: Chris L

Oct 15, 2019

common sense is rated as professional in this course.

교육 기관: Aleix C T

Jul 17, 2019

good content, surprisingly weak delivery and teching

교육 기관: Leandro S

May 08, 2020

More deep treatment for some concepts are necesary

교육 기관: V S G

Apr 12, 2020

More real-time cases can help to understand better

교육 기관: Julio R G

Jan 18, 2020

Too many terms without explanation as to meaning.

교육 기관: Harpreet

May 28, 2019

please update video with new IBM cloud UI screen

교육 기관: Vladimir R

Oct 07, 2018

confusing questions about the same subject

교육 기관: Deepanshu G

May 17, 2020

content is good but can be more engaging.

교육 기관: Sakir A

Aug 06, 2019

The cognitive classes can be improved.

교육 기관: David N B

May 24, 2019

Very little assistance from Moderators

교육 기관: Tushar M

Jan 24, 2020

the course content requires an update

교육 기관: Deepratna A

Jun 22, 2019

Could have made it more interesting

교육 기관: Thomas M

Oct 17, 2019

Not great quality of video content

교육 기관: ABHIJEET B

Jun 03, 2019

CHF case study was the worst part

교육 기관: Ali M R H

Oct 03, 2018

The case study was hard to follow

교육 기관: Ramakrishna B

Jun 10, 2019

More explanation would be great.

교육 기관: Glenda m

Mar 25, 2020

Falta mas ejemplos descriptivos

교육 기관: sairam p

Apr 11, 2019

concentrated largely on theory.

교육 기관: Anup U

Jul 20, 2020

it should be more descriptive

교육 기관: usha y

Sep 18, 2018

very nice course knowledgeble

교육 기관: Igor L

Oct 02, 2019

Too basic and too easy