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Data Science Methodology(으)로 돌아가기

IBM의 Data Science Methodology 학습자 리뷰 및 피드백

6,508개의 평가
627개의 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


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 :)


Aug 09, 2018

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

필터링 기준:

Data Science Methodology의 614개 리뷰 중 26~50

교육 기관: Jose A M A

Dec 20, 2018

Excellent course and practice. Very complete for those who start in data science.

교육 기관: DARWIN G V

Jan 08, 2019


교육 기관: Andrew F

Jan 10, 2019

Great course! Thank you!

교육 기관: Chris G

Jan 09, 2019

Videos and assignments provide excellent introduction of the data science methodology.

교육 기관: Milan D

Dec 25, 2018

Extremely informative with assisting how to get into thinking like a Data Scientist!

교육 기관: Youssou F

Dec 26, 2018

This is the best course I've taken on coursera thus far. The instructor is Excellent.

교육 기관: Angel J C V

Dec 27, 2018

Exceptional breakdown and the teaching approach is second to none

교육 기관: Khadija S

Dec 30, 2018


교육 기관: Narasimhamurthy P

Jan 12, 2019

Very Nice

교육 기관: Shiv K T

Jan 12, 2019

One of the Best Course on Data Science Methodology.

교육 기관: David G

Jan 15, 2019

Very well organized and easy to follow!

교육 기관: Rajeshree S

Jan 15, 2019

Very helpful in understanding the core steps in data science methodology. it helps you to learn how to think like a data scientist.

교육 기관: Mahesh A

Jan 01, 2019

Nice topic

교육 기관: José L P C

Jan 01, 2019

Great course

교육 기관: Mohamed F

Jan 16, 2019























교육 기관: Sparsh K

Jan 16, 2019

Please do check the submission fast.

교육 기관: Manivannan D

Jan 16, 2019

This course is very much interesting and course metrical is good. Also motivating the students by providing practical Lab facility and exercises

교육 기관: Moez B

Jan 02, 2019

A very good course. The discussion of the data science methodology is clear, thorough, and informative.

교육 기관: Naveen K

Jan 03, 2019

The content covered on this module is sufficient for a beginner to get and idea of what Data Science Methodology is and how to implement it in real world scenarios.

교육 기관: Haley T

Jan 04, 2019

Great Material! I learned a lot about the Data Science Methodology.

교육 기관: Clarence E Y

Jan 04, 2019

This course is rigorous but well paced and valuable to get a modicum of understanding about how data scientists work and collaborate with business teams.

교육 기관: Tomola O

Jan 18, 2019

Very informative and educating.

교육 기관: Patrícia P A

Jan 17, 2019

Maravilhoso! Quem trabalha com análises e/ou relatórios já tem uma ideia dos passos, mas ainda assim é válido porque estrutura conhecimento, entra mais a fundo nas etapas e traz muitas informações interessantes. Pra quem não trabalha pode conhecer como fazer uma análise desde o início.

교육 기관: Praveen k

Jan 18, 2019

Good course to know all the processes for approaching towards your machine learning model.

교육 기관: Joseph O

Jan 17, 2019

Very informative!