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学生对 IBM 提供的 Data Science Methodology 的评价和反馈

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20,981 个评分

课程概述

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems. Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python....

热门审阅

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 :)

JM

Feb 26, 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.

筛选依据：

2101 - Data Science Methodology 的 2125 个评论（共 2,665 个）

创建者 Ritvik S

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Aug 31, 2020

Very good explanations and well-guided throughout the course.

创建者 Nagarjuna K

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May 29, 2019

very good support to Coursera IBM Data Science certification.

创建者 Muhammad E N A A

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Sep 10, 2023

I'm having trouble with the language, there's no translation

创建者 ROBERT R

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Mar 1, 2021

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

创建者 郑上

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Apr 10, 2020

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

创建者 Nirav

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Jun 7, 2019

A common example could be easier to understand for everyone.

创建者 Viet H N

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Mar 27, 2020

The example about medical in videos is hard to understand.

创建者 Krishna K

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Aug 17, 2025

Everytime I learning their course its getting interested.

创建者 Jayesh M M

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Aug 16, 2019

Use cases could be given from different industry as well.

创建者 Vivek N

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Jul 27, 2019

Language of Presentation was very difficult to understand

创建者 Sibusiso T

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Dec 5, 2019

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

创建者 Sathiya P

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Aug 3, 2019

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

创建者 Mohitkumar R

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Nov 16, 2018

Great knowledge to methdology and data science thinking.

创建者 Maxim V

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Oct 16, 2018

actually not useful for anyone who did research projects

创建者 Yugal B M

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Apr 26, 2020

The case study used was little bit tough to understand.

创建者 Md M S

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Jan 10, 2020

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

创建者 ZOUZOU K F R

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Apr 24, 2021

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

创建者 Pratheek A

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Jun 3, 2019

More examples are required regarding data methodology.

创建者 Jack Z L

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Nov 17, 2020

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

创建者 Pritam D

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Jun 11, 2019

One peer gave me fewer points in my final assignment.

创建者 ROHAN M

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Nov 5, 2023

I think there must be more emphasize on hands on lab

创建者 Srinivasa R S R

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Feb 5, 2020

Good course, concepts where presented in proper way.

创建者 Spataru N

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Oct 9, 2018

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

创建者 Lawrence A

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Apr 26, 2020

the difficulty level is just ok as well as the pace