Train your teams in code, data and digital tools

The company space is planned after the beta. It will let you enrol employees, assign catalogue tracks, follow their progress and pay per seat. Each lesson is rewritten for the learner's job: finance, marketing, operations.

What is planned

  • Organisation

    Profile, logo, several managers, groups

  • Roles

    Owner, manager, trainer, learner

  • Adding learners

    Email invitation, CSV import, sign-up link, allowed email domain

  • Assigned tracks

    Catalogue tracks, required or recommended, with deadlines

  • Availability dates

    Each course opened and closed on chosen dates, for the whole company or for one group

  • Tracking

    Progress per learner and per group, time spent, blocking concepts, CSV and PDF export

  • Requested projects

    Custom track or project requests: request, quote, approval, delivery

  • Billing

    Per-seat subscription, seats added or removed mid-month, VAT invoices

  • Sign-in

    Google Workspace and Microsoft Entra SSO, then SAML for large accounts

Learner privacy

  • Managers see progress and results, never conversations with the tutor, unless the learner explicitly agrees.
  • Every record carries its organisation's identifier; organisations are isolated from each other.
  • The AI runs on our own server first. A request only goes to a cloud provider anonymised and capped.

Catalogue tracks

  • Data analyst

    17 courses · 87 lessons · about 47 h
    1. Programming Basics and Algorithms
    2. Coding with an AI Assistant (Prompts, Code Review)
    3. SQL Fundamentals (SELECT, Filters, Aggregates)
    4. Intermediate SQL (joins, subqueries)
    5. Descriptive Statistics
    6. Python Fundamentals
    7. Data Analysis with pandas and NumPy
    8. Data Cleaning and Preparation
    9. Visualization (Matplotlib, Seaborn, Plotly)
    10. Probability and Inferential Statistics
    11. Exploratory Data Analysis
    12. Business Metrics and KPIs
    13. Advanced SQL (CTEs, window functions)
    14. Data Storytelling and Presenting Results
    15. Automate with Python (Files, Excel, APIs)
    16. A/B Testing and Experimentation
    17. Simple ETL Pipelines
    • Foundations
    • SQL
    • Statistics
    • Python
    • Data analysis
  • Power BI

    13 courses · 65 lessons · about 26 h
    1. SQL Fundamentals (SELECT, Filters, Aggregates)
    2. Intermediate SQL (joins, subqueries)
    3. Database Modeling
    4. Descriptive Statistics
    5. Business Metrics and KPIs
    6. Getting Started with Power BI Desktop
    7. Power Query: Import and Transform
    8. Star Schema Modeling
    9. DAX Fundamentals
    10. Advanced DAX (Context, Time Intelligence)
    11. Data Storytelling and Presenting Results
    12. Designing Reports and Dashboards
    13. Power BI Service: Publishing, Sharing and RLS Security
    • SQL
    • Statistics
    • Data analysis
    • Power BI
  • JavaScript web developer

    24 courses · 127 lessons · about 75 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. HTML Fundamentals
    6. CSS Fundamentals
    7. Responsive Layout (Flexbox, Grid)
    8. JavaScript Fundamentals
    9. DOM and Events
    10. Asynchronous JavaScript (Promises, fetch, APIs)
    11. Accessibility and SEO
    12. Data Structures and Complexity
    13. TypeScript
    14. React
    15. SQL Fundamentals (SELECT, Filters, Aggregates)
    16. Intermediate SQL (joins, subqueries)
    17. Database Modeling
    18. HTTP and REST APIs
    19. Node.js Fundamentals
    20. API with Express
    21. Automated Testing
    22. Authentication and Web Security (OWASP)
    23. Full-Stack React + Node Application
    24. Docker and Deployment
    • Foundations
    • Front-end
    • SQL
    • Back-end
    • Server-side JavaScript
  • PHP web developer

    22 courses · 116 lessons · about 68 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. HTML Fundamentals
    6. CSS Fundamentals
    7. Responsive Layout (Flexbox, Grid)
    8. JavaScript Fundamentals
    9. DOM and Events
    10. Asynchronous JavaScript (Promises, fetch, APIs)
    11. SQL Fundamentals (SELECT, Filters, Aggregates)
    12. Intermediate SQL (joins, subqueries)
    13. Database Modeling
    14. PHP Fundamentals
    15. Object-Oriented PHP and Composer
    16. PHP and Databases (PDO)
    17. HTTP and REST APIs
    18. Laravel Fundamentals
    19. Automated Testing
    20. Authentication and Web Security (OWASP)
    21. Advanced Laravel (API, Queues, Tests)
    22. Docker and Deployment
    • Foundations
    • Front-end
    • SQL
    • PHP
    • Back-end

Questions

When does the schools and companies space open?

After the beta for individual learners. No date has been announced yet; the waiting list hears first.

Can we ask for a course that is not in the catalogue?

Yes. A request outside the catalogue is recorded with the missing skills and, for an organisation, can become a custom project request.

Is the training certified?

Not at this stage. No certification is claimed. Courses are being translated into English; those not yet translated are in French.

Get ready to bring your teams in

Join the waiting list and you will hear when the companies space opens. Joining commits you to nothing.