本课程教你用Claude Code构建可重复、结果可信的数据分析工作流，涵盖数据剖析、清洗、建模与自动化，并通过业务指标、项目上下文与质量校验规则保障分析完整性。
原始标题：Claude Code for Data Analysis: Build Repeatable, Reliable Workflows
这门针对数据分析与工程领域的进阶实战课程旨在教导学员利用 Anthropic 的 Claude Code 构建高效、可重复且结果可信的自动化数据分析管线。课程通过全流程演练传授如何通过定义业务指标、注入项目上下文及嵌入质量校验规则来保障数据分析的完整性。
Released 9/2026
With Baraa Khatib Salkini
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 36m | Size: 625.2 MB
Build a repeatable data analysis workflow with Claude Code, using reusable skills, quality checks, and validation to produce results you can trust.
Course details
AI can help you analyze data faster, but speed means little if you can’t trust the results. In this course, data engineer Baraa Salkini teaches you how to use Claude Code to build a repeatable data analysis workflow that combines AI assistance with the controls and validation practices analysts need. Follow a project from raw data through profiling, cleaning, modeling, analysis, and automation. Explore how to give Claude Code project context, define business metrics and quality rules, create reusable skills, and add validation steps that help protect the integrity of your analysis. Then apply the workflow to create dashboards, presentation slides, and Power BI assets, and combine your reusable skills into an automated analysis pipeline you can run again as new data and questions arise.
Skills covered
Data Analysis, Artificial Intelligence (AI)
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