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Data Science Methodology(으)로 돌아가기

IBM의 Data Science Methodology 학습자 리뷰 및 피드백

4.6
별점
15,431개의 평가
1,828개의 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 :)

JM
2020년 2월 26일

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 1,813개 리뷰 중 1401~1425

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: 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.

교육 기관: Pritam D

2019년 6월 11일

One peer gave me fewer points in my final assignment.

교육 기관: Srinivasa R S R

2020년 2월 5일

Good course, concepts where presented in proper way.

교육 기관: Spataru N

2018년 10월 9일

Very good course. The case study wasn't my favorite.

교육 기관: Lawrence A

2020년 4월 26일

the difficulty level is just ok as well as the pace

교육 기관: Thomas L

2020년 3월 21일

there is some issues using the Jupyterlab sometimes

교육 기관: HoangVan

2020년 3월 3일

Goods thing for everyone need improve your carreer.

교육 기관: Usman S

2019년 8월 25일

i think going into more depth would have been great

교육 기관: TATENDA Y G

2019년 2월 10일

Heavy

Am confident to say am a "Confident Novice DS"

교육 기관: Xumin C

2018년 12월 20일

The Course clarified the procedure of data science.

교육 기관: Redi S

2018년 4월 30일

great to start my process learning of data science

교육 기관: Omar F

2020년 4월 16일

Need more explaining of the analytical tools used

교육 기관: Md A H

2019년 10월 7일

Please make it little bit more easier and slower.

교육 기관: Piyush C

2019년 5월 31일

There Should be more description on methodologies

교육 기관: Pankaj K G

2020년 6월 30일

this course includes a lot of conceptual topics.