Summary  
This chapter demonstrates how to read and process CSV data programmatically with Python, use pandas for pivot tables and matplotlib for generating charts, and automate the creation of visual reports and an interactive HTML dashboard.  

General domain of usage  
Sales analytics

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.

Erfahren Sie, wie Sie die Leistungsfähigkeit des MCP (Model Context Protocol) nutzen, um Claude AI mit Ihren alltäglichen Tools zu verbinden, Aufgaben zu automatisieren und komplexe Arbeitsabläufe zu vereinfachen. Dieser Kurs behandelt die Grundlagen von MCP-Servern, deren Einrichtung sowie die Interaktion mit Ihrer lokalen Umgebung. Sie lernen außerdem praxisnahe Anwendungsfälle kennen – von der Integration von Google-Diensten wie Gmail und Kalender bis hin zur Automatisierung von Excel-Analysen und PowerPoint-Erstellung mit Python und KI. Der Kurs richtet sich an technische und nicht-technische Anwender und unterstützt Sie dabei, mit minimalem manuellem Aufwand echte Produktivitätssteigerungen zu erzielen.

Learn how MCP (Model Context Protocol) connects AI agents to your tools, apps, and data. This section introduces the core ideas behind MCP servers, shows you how to get started, and walks you through practical ways to interact with your local environment using Claude Desktop.

Unlock the power of AI to streamline data analysis, automate Excel reports, and generate insightful summaries with minimal effort. Explore how MCP tools and Python scripts—combined with natural language prompts—can transform static files into dynamic dashboards and structured reports. From raw CSVs to well-organized deliverables, every step becomes faster, smarter, and hands-free thanks to AI-powered automation.

Explore how MCP can connect Claude AI to your Gmail and Google Calendar, enabling powerful task automation and communication workflows. Learn how to install and configure these servers, manage emails directly through AI, and discover the broader potential of MCP integrations beyond Google tools.

AI-Powered Data Analysis with Python & MCP

Awesome!

AI-Powered Data Analysis with Python & MCP