The Argusa Data School
An intensive 1-day course, composed of 5 modules, for managers who want to lead better with data.
Why Argusa ?
The Argusa Data School is an intensive 1-day course, composed of 5 modules, for managers who want to lead better with data.
This course is a unified tour of the data world – all five modules are interconnected, providing a holistic view of data's power in business.
We don't just lead with experience; we innovate with technical and scientific rigor.
Since 2018, Argusa has pioneered data-driven solutions, delivering over 100 transformative projects across multiple industries. Our commitment to excellence has earned us the trust of our clients.
Beyond consultancy, we've empowered over 500 professionals with Tableau, enhancing their data literacy and decision-making capabilities.
Enroll now and discover why leading organizations choose Argusa for their data journey.
Is the Argusa Data School a right choice for you ?
Recognizing the pivotal role data plays in today's management decisions, Argusa Data School bridges the gap between data complexity and strategic leadership.
Unlike those of academic institutions, our curriculum is forged in the crucible of real-world consulting, offering a unique blend of practical expertise and cutting-edge theory.
Our courses are tailored for forward-thinking professionals, including managers and team leaders, who aim to leverage data for strategic advantage.
By focusing on real problems and solutions encountered in our extensive consulting practice, we ensure our participants gain hands-on skills that are immediately applicable in the workplace.
Ready to transform your data capabilities? Secure your spot today.
Schedule
During the day, we will cover:
1. Data
- Why is it important?
- How is it relevant to real life?
2. Enterprise Data Strategy
- Data Governance, Quality, Security
- Data platforms
- Data “Roles” (tasks and competences when working with data)
3. Data Architecture and modelling
- Data Architecture and modelling (introduction)
- Data Modelling for analytics
- Data Historization and Data Lineage
4. Data Visualisation
- Why Visualize and which Visualization to use?
- What is dashboarding
- Visualization and Dashboarding best practices
5. Data Science / ML / AI
- Demystification
- Why? When? How?
- Best practices
Each section has 20 additional minutes for working on a canvas with a personal use case.
Our Partners
When: 25 April 2024, 8.30 am to 5.00 pm
Where: EPFL Innovation Park, Building F, Room Luna
Price: CHF 650.-