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Lære Automate Excel Dashboards with Claude & MCP | AI-Powered Workflows with MCP: Data, Excel & Presentations
Agentic AI for Business
course content

Kursinnhold

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
Automate Excel Dashboards with Claude & MCP

Let's explore two powerful ways to work with Excel files:

  1. Python scripts using the openpyxl library;

  2. Real-time interaction via the Excel MCP server.

All tasks are based on the same dataset:

Build an Excel Dashboard Using Python

Let's start by converting the CSV file into .xlsx format using Python.

Then:

After execution, check the Desktop for the file sales_dataset_large.xlsx — all columns and data should be preserved.

Now let's build a dashboard directly inside that Excel file using openpyxl.

Then

This script adds a new sheet with analytics.

Everything is created automatically — no manual formatting required.

Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 2. Kapittel 3

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course content

Kursinnhold

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
Automate Excel Dashboards with Claude & MCP

Let's explore two powerful ways to work with Excel files:

  1. Python scripts using the openpyxl library;

  2. Real-time interaction via the Excel MCP server.

All tasks are based on the same dataset:

Build an Excel Dashboard Using Python

Let's start by converting the CSV file into .xlsx format using Python.

Then:

After execution, check the Desktop for the file sales_dataset_large.xlsx — all columns and data should be preserved.

Now let's build a dashboard directly inside that Excel file using openpyxl.

Then

This script adds a new sheet with analytics.

Everything is created automatically — no manual formatting required.

Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 2. Kapittel 3
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