Training course · Mistral Le Chat · Data Analysis & Excel

Mistral Le Chat for Data Analysis and Excel

Mistral Le Chat as a European AI alternative: data sovereignty, agents, libraries and self-hosting options in practice.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Mistral Le Chat for Data Analysis and Excel” is a hands-on course for roles such as Business users who work regularly with Excel and reports, Controllers and finance staff and Sales and marketing analysts. Rather than learning Mistral Le Chat in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Data Analysis & Excel.

Mistral Le Chat is the AI assistant from French provider Mistral AI and, for many organisations in the German-speaking region, an attractive European alternative to US services. Alongside familiar features such as chat, web search, document analysis, Canvas and image generation, Le Chat offers options that matter for data sovereignty: processing in Europe, business plans with administration features and models that can also run on your own infrastructure. In this practical day you first get to know Le Chat as a productive tool for writing, summarising, analysis and research in everyday work.

You then explore the features for team use: libraries, where you store your own documents as a knowledge base, agents with fixed instructions for recurring tasks, and connectors to business applications. A dedicated module puts the deployment options into perspective – from cloud service to self-hosting – and shows which questions business teams, IT and data protection should settle together. You leave with tested prompts, an agent of your own and a sound basis for deciding when Le Chat is the right choice for your organisation.

In almost every department, decisions are made on the basis of spreadsheets, exports and reports – and much working time goes into cleaning, combining and analysing that data. Generative AI dramatically lowers the barrier to sophisticated analysis. It explains and writes Excel formulas, builds Power Query steps and macros, suggests pivot analyses and charts, generates Python or SQL code for larger datasets and drafts commentary on KPIs. AI agents can prepare recurring reports automatically. This empowers business users to answer questions themselves that once meant waiting for IT or an analytics team. What remains essential is checking results rigorously and keeping an eye on data quality.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Business users who work regularly with Excel and reports
  • Controllers and finance staff
  • Sales and marketing analysts
  • Business analysts and reporting teams
  • Team leads responsible for KPIs

Typical challenges we address

  • Time-consuming manual data cleaning and copy-and-paste processes
  • Complex formulas and macros that only a few people understand
  • Data from different systems in inconsistent formats
  • Error-prone spreadsheets without traceable calculation logic

What you will be able to do

  • You use Le Chat productively for writing, document analysis and research in your daily work.
  • You create libraries of your own documents and use them as a reliable knowledge base.
  • You configure an agent for a recurring task and make it available to your team.
  • You evaluate cloud, business and self-hosting options from a data sovereignty perspective.
  • Create and understand complex Excel formulas, Power Query steps and macros with AI.
  • Clean, analyse and visualise data faster and more transparently with AI support.
  • Automate recurring reports and check AI results methodically for accuracy.

Course outline

Module 1 Le Chat at a glance and effective prompts
  • Mistral AI, its model family and positioning as a European provider
  • Le Chat features: chat, web search, Canvas, document and image analysis
  • Structuring prompts with role, context, task and output format
  • Working across languages in English, German and French
Module 2 Writing, documents and research
  • Drafting and revising emails, reports and templates
  • Uploading, summarising and querying PDFs and spreadsheets
  • Using Deep Research and web search with citations
  • Developing texts collaboratively in Canvas
Module 3 Libraries and agents
  • Creating libraries of your own documents as a knowledge base
  • Configuring agents with instructions, knowledge sources and tools
  • Testing, improving and rolling out agents to the team
  • Making sensible use of memories and connectors to business applications
Module 4 Data sovereignty and deployment options
  • Data processing, storage locations and data-usage settings
  • Cloud service, business plan and self-hosting compared
  • Open models on your own infrastructure: opportunities and effort
  • GDPR and EU AI Act requirements for tool selection
Module 5 Rollout, quality and governance
  • Assessing Le Chat fairly against other assistants
  • Checking output: verifying facts, figures and sources
  • Defining usage policies and approval processes for agents
  • Planning a pilot and making success measurable
Module 6 Practice lab: Data Analysis & Excel
  • Writing and explaining formulas
  • Cleaning and combining data
  • Analyses and charts
  • Python and SQL for large datasets
  • Commenting on KPIs
  • Automating reports
Module 7 Data protection, quality & transfer to daily work
  • Spreadsheets often contain personal data about customers or employees as well as confidential business figures, which may only be processed in approved AI environments and ideally anonymised or aggregated. Analyses relating to employees may be subject to works council rights, and responsibility for the accuracy of reports remains with the business unit.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Writing and explaining formulas

AI creates formulas such as XLOOKUP, SUMIFS or dynamic arrays from a plain-language description and explains existing nested formulas step by step. Common pitfalls are pointed out as well.

Cleaning and combining data

For inconsistent exports, AI suggests cleaning steps, builds Power Query queries or scripts for merging, de-duplicating and normalising, and documents the transformations. The steps can be repeated with one click next time.

Analyses and charts

From a business question, AI derives suitable pivot tables, metrics and chart types and helps present results clearly and accurately. Misleading displays such as truncated axes are avoided.

Python and SQL for large datasets

When Excel reaches its limits, AI generates Python or SQL code for analysing larger datasets, which business users run, understand and adapt step by step.

Commenting on KPIs

Variances, trends and anomalies in reports are translated into clear written commentary for management and departments; hypotheses about causes are checked by experts. Reports become self-explanatory in meetings.

Automating reports

Recurring monthly or weekly reports are automated with macros, scripts or AI agents so that data is retrieved, prepared and distributed as a report. Manual steps and transfer errors largely disappear.

Prerequisites

Confident use of office applications and a web browser; prior AI experience is helpful but not required. No programming skills are needed for the deployment options module. Confident everyday use of Excel; no programming skills required.

Technical requirements

A laptop with an up-to-date browser and a Le Chat account; we recommend Pro, Team or Enterprise access to use libraries, agents and team features in full.

Data protection & compliance

Spreadsheets often contain personal data about customers or employees as well as confidential business figures, which may only be processed in approved AI environments and ideally anonymised or aggregated. Analyses relating to employees may be subject to works council rights, and responsibility for the accuracy of reports remains with the business unit.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Thu, 26 November 2026 Online Request
  • Wed, 2 December 2026 Hanover Request
  • Wed, 16 December 2026 Online Request
  • Wed, 20 January 2027 Munich Request
  • Thu, 4 February 2027 Online Request
  • Tue, 16 February 2027 Stuttgart Request

Frequently asked questions

Is Mistral Le Chat automatically GDPR-compliant because Mistral is a European provider?

A European headquarters and processing in Europe make the data protection assessment easier, but they do not replace it. What counts are the contract, the data processing agreement, data-usage settings and your internal policies. In the course you learn which points to review with your data protection officer and IT before using Le Chat in production.

What does self-hosting mean with Mistral, and do I need my own IT department?

Mistral offers models and enterprise solutions that can run in your own cloud or data centre. This increases control over your data but requires infrastructure, operations and expertise. In the course we put the options into perspective so that, as a business user, you can discuss effort and benefits with your IT team on an informed basis.

Can Le Chat keep up with ChatGPT or Claude?

For many everyday office tasks – writing, summarising, research and document analysis – Le Chat delivers very good results, notably in French and German as well. Differences depend on the task, integrations and feature set. We compare typical scenarios hands-on so that you can judge its suitability for your own area yourself.

Do I need programming skills for data analysis with AI?

No. Good Excel skills are enough to start. AI generates formulas, Power Query steps and, where needed, Python code that you learn to follow step by step. What matters is being able to sanity-check results. The course focuses on exactly these checking techniques alongside hands-on practice.

How reliable are AI-generated formulas and analyses?

Often very good, but not flawless: references, edge cases or wrong assumptions about the data structure lead to silent errors. That is why you verify results with spot checks, control totals and cross-calculations. The course teaches a simple checking routine to apply to every AI-assisted analysis.

How much does “Mistral Le Chat for Data Analysis and Excel” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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