Coursera 笔记

IBM

Data Science Methodology

数据科学方法论

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Module 01

From Problem to Approach and From Requirements to Collection

20 篇
  1. 01Course Introduction欢迎参加《数据科学方法论导论》课程
  2. 02A Quick Note for the Best Learning Experience最佳学习体验的简短提示
  3. 03Course Syllabus课程大纲
  4. 04Data Science Methodology Overview数据科学方法论概览
  5. 05Business Understanding从问题到方法：数据科学方法论 101 – 商业理解
  6. 06Analytic Approach从问题到方法：数据科学方法论 101 – 分析方法
  7. 07Analytic Approach Based on the Question Type基于问题类型的分析方法
  8. 08Activity - Business Understanding: Asking Questions活动 - 商业理解：提出问题
  9. 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
  10. 10Lesson Summary: From Problem to Approach课程总结：从问题到方法
  11. 11Practice Quiz: From Problem to Approach练习测验：从问题到方法
  12. 12Glossary: From Problem to Approach术语表：从问题到方法
  13. 13Graded Quiz: From Problem to Approach评分测验：从问题到方法
  14. 14Data Requirements从要求到收集：数据科学方法论 101 – 数据需求
  15. 15Data Collection从要求到收集：数据科学方法论 101 – 数据收集
  16. 16From Requirements to Collection从需求到收集
  17. 17Lesson Summary: From Requirements to Collection课程总结：从需求到收集
  18. 18Practice Quiz: From Requirements to Collection练习测验：从需求到收集
  19. 19Glossary: From Requirements to Collection术语表：从需求到收集
  20. 20Graded quiz: From Requirements to Collection评分测验：从需求到收集
Module 02

From Understanding to Preparation and From Modeling to Evaluation

16 篇
  1. 01Data Understanding从理解到准备：数据科学方法论 101 – 数据理解
  2. 02Data Preparation - Concepts从理解到准备：数据科学方法论 101 – 数据准备 (概念篇)
  3. 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)
  4. 04Hands-on Lab: From Understanding to Preparation动手实验：从理解到准备
  5. 05Lesson Summary: From Understanding to Preparation课程总结：从理解到准备
  6. 06Practice Quiz: Lesson 1 From Understanding to Preparation练习测验：课程 1 从理解到准备
  7. 07Module 2 Lesson 1 Glossary: From Understanding to Preparation模块 2 课程 1 术语表：从理解到准备
  8. 08Graded Quiz Lesson 1: From Understanding to Preparation评分测验第一课：从理解到准备
  9. 09Modeling - Concepts从建模到评估：数据科学方法论 101 – 建模 (概念篇)
  10. 10Modeling - Case Study从建模到评估：数据科学方法论 101 – 建模 (案例研究篇)
  11. 11Evaluation从建模到评估：数据科学方法论 101 – 评估
  12. 12Hands-on Lab: From Modeling to Evaluation动手实验：从建模到评估
  13. 13Lesson Summary: From Modeling to Evaluation课程总结：从建模到评估
  14. 14Practice Quiz Lesson 2: From Modeling to Evaluation练习测验第 2 课：从建模到评估
  15. 15Glossary: From Modeling to Evaluation术语表：从建模到评估
  16. 16Graded Quiz Lesson 2: From Modeling to Evaluation评分测验第 2 课：从建模到评估
Module 03

From Deployment to Feedback and Final Evaluation

8 篇
  1. 01Deployment从部署到反馈：数据科学方法论 101 – 部署
  2. 02Feedback从部署到反馈：数据科学方法论 101 – 反馈
  3. 03Storytelling数据专业人士谈数据分析中的“讲故事”角色
  4. 04Course Summary数据科学方法论 101 – 课程总结
  5. 05Module 3 Summary: From Deployment to Feedback模块 3 总结：从部署到反馈
  6. 06Practice Quiz: From Deployment to Feedback练习测验：从部署到反馈
  7. 07Module 3 Glossary: From Deployment to Feedback模块 3 术语表：从部署到反馈
  8. 08Module 3 Graded Quiz: From Deployment to Feedback模块 3 评分测验：从部署到反馈
Module 04

Final Project and Assessment

8 篇
  1. 01Introduction to CRISP-DMCRISP-DM 简介 (Cross-Industry Standard Process for Data Mining)
  2. 02Final Assignment Overview最终作业概述
  3. 03Peer-graded Assignment: Final Assignment同行评审作业：最终作业
  4. 04Review what you learned复习所学内容
  5. 05Final Quiz最终测验
  6. 06Congratulations and Next Steps祝贺与下一步
  7. 07Thanks from the Course Team课程团队感谢
  8. 08IBM Digital BadgeIBM 数字徽章