Claude Code: Data Analysis Without the Spreadsheet Headaches

Web Reference: 先纠正一个误区：Claude Code 本身不需要单独购买 Claude Code 是一个命令行编程工具，不是独立售卖的产品，你真正需要的是 Claude 的会员资格或 API 访问权限。 在说怎么用之前，先讲讲为什么值得折腾这一圈。 我用它重构过一个 3000 行的 Python 后端项目。 你只需要在项目根目录输入一句话："帮我把 ... Claude是一款备受海外创作者和开发者喜爱的AI工具，在长文本处理和复杂推理方面表现卓越，其3.7Sonnet版本在代码能力方面尤为突出。 三、启用 Claude Code 完成安装之后，通过终端输入 Claude 命令来进入 CC。 Mac 电脑，在应用程序中可以找到终端。 Windows 用户，点击运行，输入 cmd，即可打开终端。 不出意外的情况下，就要出意外了。 比如，你可能会遇到 地区不支持 的错误信息。

YouTube Excerpt: How to use Claude Code for data analysis. Two spreadsheets, one sentence, and an AI agent turned raw data into a full business analysis in about 10 minutes. In this video, I'll show you step by step how to build a reusable agentic business analyst with Claude Code that finds trends, flags problems, and gives you specific recommendations. This is part three of my Claude Code series. In part one, we installed Claude Code and built an app from scratch. In part two, we learned how to build AI agents using agentic workflows. Today, we're applying those skills to a real business problem. We'll use a fake coffee company called Basecamp Brew Co. with 12 months of sales data and 200 customer records, so you can follow along with the exact same files. You'll see how to set up a CLAUDE.md file, build a reusable data analysis workflow, run it on sales and customer data, and iterate on the reports -- all without writing a single formula or pivot table. Timestamps: 0:00 Intro 0:55 Meet Basecamp Brew Co. 1:35 The data we're working with 2:02 Setting up the project in VS Code 3:10 The CLAUDE.md file explained 5:02 Adding the data files 5:40 Plan mode and writing the workflow prompt 6:38 Watching the agent build the workflow 7:53 Running the sales data analysis 9:12 Reviewing the sales report 11:14 Analyzing the customer data 12:43 Reviewing the customer report 15:04 Iterating on the report 16:29 Why reusable workflows matter 17:38 Wrapping up and your challenge Basecamp Brew Co. data files (sales + customer + CLAUDE.md): https://go.teachers.tech/Claude_Code_BA Claude Code Part 1: https://youtu.be/7uyJ9H4hfkU Claude Code Part 2 (Agentic Workflows): https://youtu.be/gHB4JFG9i3k First Prompt: I want to build a reusable data analysis workflow. When I point you at a data file, you should ask me what I’m looking for, check the data for any issues, analyze it thoroughly, find trends and patterns, flag anything unusual, and produce a clear report with specific recommendations. The report should include actual numbers, formatted tables, and a section at the end with the top three things the business should do next. Second Prompt: Analyze the sales data in resources/sales-data.xlsx. This is 12 months of sales for Basecamp Brew Co. I want to understand what’s working, what’s not, and where we should focus next quarter. First Answer to Questions: Give me all three compared but lead with profit since that's what actually matters to a small business. Equal attention across all channels but I have a feeling the mall kiosk might be underperforming so keep an eye on that. Nothing planned for next quarter yet, that's what this analysis is for. And go broad, hit all six lenses. I want the full picture. If something jumps out that deserves a deeper look, go for it. Second Answer to Questions: Lead with spend and frequency together, that makes sense. Yes, definitely do the deep dive on repeat versus one-time customers. I want to know what makes someone come back. For acquisition channels, I want to know which channels produce higher-value customers over time, not just raw numbers. And for the cross-reference, work with what's joinable and flag the limitation. Subscribe: https://www.youtube.com/@TeachersTech?sub_confirmation=1 Website: https://www.teachers.tech Instagram: https://www.instagram.com/teacherstechlab LinkedIn: https://www.linkedin.com/in/teacherstech

How to use Claude Code for data analysis. Two spreadsheets, one sentence, and an AI agent turned raw data into a full business analysis in about 10...

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