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Data Science Methodology(으)로 돌아가기

IBM의 Data Science Methodology 학습자 리뷰 및 피드백

4.6
별점
16,239개의 평가
1,947개의 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
2019년 5월 13일

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
2021년 6월 18일

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!

필터링 기준:

Data Science Methodology의 1,933개 리뷰 중 1501~1525

교육 기관: Nicklas N

2019년 1월 17일

A good overview of the scientific method applied to data science.

교육 기관: Russell K

2020년 2월 23일

peer graded assignment was graded unfairly for first submission.

교육 기관: Siwei L

2020년 1월 8일

Case of heart failure not common enough for a easy understanding

교육 기관: christopher r n

2020년 6월 13일

the github was hard to follow and the was some technical issues

교육 기관: yonghui f

2020년 2월 28일

Kind of basic knowledge, give you a thought about data science.

교육 기관: Beast C R

2019년 9월 17일

Good information. More interaction and less video would be nice

교육 기관: Hamza Z A

2018년 11월 22일

A bit more descriptive videos could have made this even better!

교육 기관: Ritvik S

2020년 9월 1일

Very good explanations and well-guided throughout the course.

교육 기관: KAJA N

2019년 5월 29일

very good support to Coursera IBM Data Science certification.

교육 기관: ROBERT R

2021년 3월 1일

Tough, for my first set of data science courses, but doable.

교육 기관: 郑上

2020년 4월 10일

the final exam is not easy,I uploaded it for three times....

교육 기관: Nirav

2019년 6월 7일

A common example could be easier to understand for everyone.

교육 기관: Viet H N

2020년 3월 27일

The example about medical in videos is hard to understand.

교육 기관: Jayesh M

2019년 8월 16일

Use cases could be given from different industry as well.

교육 기관: VIVEK S N

2019년 7월 28일

Language of Presentation was very difficult to understand

교육 기관: Sibusiso T

2019년 12월 5일

We can go deeper with more examples and a sample report.

교육 기관: Sathiya P

2019년 8월 3일

It was good, but it could have been made slightly simple

교육 기관: Mohitkumar R

2018년 11월 16일

Great knowledge to methdology and data science thinking.

교육 기관: Maxim V

2018년 10월 16일

actually not useful for anyone who did research projects

교육 기관: Yugal M

2020년 4월 26일

The case study used was little bit tough to understand.

교육 기관: Md M S

2020년 1월 10일

Everything was good. But the presentation wasn't clear.

교육 기관: ZOUZOU K F R

2021년 4월 24일

Très ravi j'ai appris beaucoup de choses avec ce cours

교육 기관: Ajay M

2019년 11월 25일

Great Explanation, Could have one more Test case study

교육 기관: Pratheek A

2019년 6월 3일

More examples are required regarding data methodology.

교육 기관: Jack Z L

2020년 11월 18일

The case study is a little bit hard for me to follow.