Coursera 笔记

IBM/Data Science Methodology/Practice Quiz: From Problem to Approach

Data Science Methodology

数据科学方法论 · IBM · 52 篇

01From Problem to Approach and From Requirements to Collection20

01Course Introduction欢迎参加《数据科学方法论导论》课程
02A Quick Note for the Best Learning Experience最佳学习体验的简短提示
03Course Syllabus课程大纲
04Data Science Methodology Overview数据科学方法论概览
05Business Understanding从问题到方法：数据科学方法论 101 – 商业理解
06Analytic Approach从问题到方法：数据科学方法论 101 – 分析方法
07Analytic Approach Based on the Question Type基于问题类型的分析方法
08Activity - Business Understanding: Asking Questions活动 - 商业理解：提出问题
09Activity - Analytical Approach: Identifying the Pattern to Address the Question活动 - 分析方法：识别解决问题的关键模式
10Lesson Summary: From Problem to Approach课程总结：从问题到方法
11Practice Quiz: From Problem to Approach练习测验：从问题到方法
12Glossary: From Problem to Approach术语表：从问题到方法
13Graded Quiz: From Problem to Approach评分测验：从问题到方法
14Data Requirements从要求到收集：数据科学方法论 101 – 数据需求
15Data Collection从要求到收集：数据科学方法论 101 – 数据收集
16From Requirements to Collection从需求到收集
17Lesson Summary: From Requirements to Collection课程总结：从需求到收集
18Practice Quiz: From Requirements to Collection练习测验：从需求到收集
19Glossary: From Requirements to Collection术语表：从需求到收集
20Graded quiz: From Requirements to Collection评分测验：从需求到收集

02From Understanding to Preparation and From Modeling to Evaluation16

01Data Understanding从理解到准备：数据科学方法论 101 – 数据理解
02Data Preparation - Concepts从理解到准备：数据科学方法论 101 – 数据准备 (概念篇)
03Data Preparation - Case Study从理解到准备：数据科学方法论 101 – 数据准备 (案例研究篇)
04Hands-on Lab: From Understanding to Preparation动手实验：从理解到准备
05Lesson Summary: From Understanding to Preparation课程总结：从理解到准备
06Practice Quiz: Lesson 1 From Understanding to Preparation练习测验：课程 1 从理解到准备
07Module 2 Lesson 1 Glossary: From Understanding to Preparation模块 2 课程 1 术语表：从理解到准备
08Graded Quiz Lesson 1: From Understanding to Preparation评分测验第一课：从理解到准备
09Modeling - Concepts从建模到评估：数据科学方法论 101 – 建模 (概念篇)
10Modeling - Case Study从建模到评估：数据科学方法论 101 – 建模 (案例研究篇)
11Evaluation从建模到评估：数据科学方法论 101 – 评估
12Hands-on Lab: From Modeling to Evaluation动手实验：从建模到评估
13Lesson Summary: From Modeling to Evaluation课程总结：从建模到评估
14Practice Quiz Lesson 2: From Modeling to Evaluation练习测验第 2 课：从建模到评估
15Glossary: From Modeling to Evaluation术语表：从建模到评估
16Graded Quiz Lesson 2: From Modeling to Evaluation评分测验第 2 课：从建模到评估

03From Deployment to Feedback and Final Evaluation8

01Deployment从部署到反馈：数据科学方法论 101 – 部署
02Feedback从部署到反馈：数据科学方法论 101 – 反馈
03Storytelling数据专业人士谈数据分析中的“讲故事”角色
04Course Summary数据科学方法论 101 – 课程总结
05Module 3 Summary: From Deployment to Feedback模块 3 总结：从部署到反馈
06Practice Quiz: From Deployment to Feedback练习测验：从部署到反馈
07Module 3 Glossary: From Deployment to Feedback模块 3 术语表：从部署到反馈
08Module 3 Graded Quiz: From Deployment to Feedback模块 3 评分测验：从部署到反馈

04Final Project and Assessment8

01Introduction to CRISP-DMCRISP-DM 简介 (Cross-Industry Standard Process for Data Mining)
02Final Assignment Overview最终作业概述
03Peer-graded Assignment: Final Assignment同行评审作业：最终作业
04Review what you learned复习所学内容
05Final Quiz最终测验
06Congratulations and Next Steps祝贺与下一步
07Thanks from the Course Team课程团队感谢
08IBM Digital BadgeIBM 数字徽章

Module 01 · From Problem to Approach and From Requirements to Collection

Practice Quiz: From Problem to Approach练习测验：从问题到方法

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Coursera 笔记 · Noted by 千啾略 · As of 2026-09-14