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

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20,991 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....

1526 - Data Science Methodology 的 1550 个评论（共 2,665 个）

创建者 Stefano S

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Sep 26, 2018

Very usefull

创建者 Awais A

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Oct 12, 2025

Nice course

创建者 Mohamed

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Apr 7, 2025

good course

创建者 Melih G

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Apr 1, 2025

It's great.

创建者 Shraddha D

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Aug 8, 2023

nice course

创建者 Priya N

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Jul 30, 2023

I love this

创建者 Md A

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Jul 3, 2023

good course

创建者 Eduardo M

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Apr 14, 2023

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

课程概述

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1526 - Data Science Methodology 的 1550 个评论（共 2,665 个）