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Aprenda AI-Powered Data Analysis with Python & MCP | AI-Powered Workflows with MCP: Data, Excel & Presentations
Agentic AI for Business
course content

Conteúdo do Curso

Agentic AI for Business

Agentic AI for Business

1. Introduction to MCP Servers
2. AI-Powered Workflows with MCP: Data, Excel & Presentations
3. MCP Integration with Google Services

book
AI-Powered Data Analysis with Python & MCP

Here's a download-ready sample file you can use to follow the instructions:

Let's ask Claude to analyze the dataset using Python.

Claude will now generate a full script using pandas, matplotlib, and related libraries.

After execution, a new folder will appear on your Desktop.

Also, for a more dynamic experience, request a dashboard in HTML format.

Claude will return a complete HTML-based dashboard with interactive elements — no need for Excel or manual chart building.

A full analytics suite—without writing a single line of code yourself.

Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 2

Pergunte à IA

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Pergunte o que quiser ou experimente uma das perguntas sugeridas para iniciar nosso bate-papo

course content

Conteúdo do Curso

Agentic AI for Business

Agentic AI for Business

1. Introduction to MCP Servers
2. AI-Powered Workflows with MCP: Data, Excel & Presentations
3. MCP Integration with Google Services

book
AI-Powered Data Analysis with Python & MCP

Here's a download-ready sample file you can use to follow the instructions:

Let's ask Claude to analyze the dataset using Python.

Claude will now generate a full script using pandas, matplotlib, and related libraries.

After execution, a new folder will appear on your Desktop.

Also, for a more dynamic experience, request a dashboard in HTML format.

Claude will return a complete HTML-based dashboard with interactive elements — no need for Excel or manual chart building.

A full analytics suite—without writing a single line of code yourself.

Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 2
Sentimos muito que algo saiu errado. O que aconteceu?
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