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

4.6
20,929 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:

2076 - Data Science Methodology 的 2100 个评论(共 2,652 个)

创建者 Matt A

Apr 1, 2019

Very comprehensive view of methodology with real-world case study.

创建者 ROBERTO I D L R C

May 22, 2021

I have a bigges scenario of how to manage a Data Science project.

创建者 Jeroen O

Dec 14, 2020

Good course......it provides a good intro to the CRISP Framework.

创建者 Ridhi S

May 13, 2020

It was a good one, but try to take a simpler case study material.

创建者 Ravindra D

Nov 13, 2019

Good course primary focus on methodology (a theoretical approach)

创建者 Nicklas N

Jan 16, 2019

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

创建者 NARENDRA E

Apr 13, 2022

The course is covering all the phases of DataScience Methodology

创建者 Russell K

Feb 23, 2020

peer graded assignment was graded unfairly for first submission.

创建者 Siwei L

Jan 8, 2020

Case of heart failure not common enough for a easy understanding

创建者 christopher r n

Jun 13, 2020

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

创建者 yonghui f

Feb 28, 2020

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

创建者 Beast C R

Sep 16, 2019

Good information. More interaction and less video would be nice

创建者 Hamza Z A

Nov 22, 2018

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

创建者 Ibraheem K

Jan 8, 2022

Easy course, prepares you to have a clear mind about the topic

创建者 Ritvik S

Aug 31, 2020

Very good explanations and well-guided throughout the course.

创建者 Nagarjuna K

May 29, 2019

very good support to Coursera IBM Data Science certification.

创建者 Muhammad E N A A

Sep 10, 2023

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

创建者 ROBERT R

Mar 1, 2021

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

创建者 郑上

Apr 10, 2020

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

创建者 Nirav

Jun 7, 2019

A common example could be easier to understand for everyone.

创建者 Viet H N

Mar 27, 2020

The example about medical in videos is hard to understand.

创建者 Krishna K

Aug 17, 2025

Everytime I learning their course its getting interested.

创建者 Jayesh M M

Aug 16, 2019

Use cases could be given from different industry as well.

创建者 Vivek N

Jul 27, 2019

Language of Presentation was very difficult to understand

创建者 Sibusiso T

Dec 5, 2019

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