3 Steps to Data Mastery
How we help you and your team
1 - Team skill assessment
In a 30-minute meeting, we determine which skills fit with the roles and responsibilities your team wants to grow towards. We find a learning and evaluation schedule that works for the whole team.
Does this sound familiar?
My team consists of competent Data Analysts. To broaden our knowledge, we'd like to upskill in AI, Data Science and Engineering.
My team builds great ML models, but we want to learn best practices in automation and model deployment (MLOps).
ChatGPT and other AI tools can boost productivity and are changing the way we work. How can my team use them effectively?
Our company runs on a mountain of Excel files, how can we migrate to a more modern data stack using Azure and Power BI?
Our Data Scientists are training models on their laptops, we'd like to track ML experiments and train models in the cloud.
2 - Personal learning path
Each team member learns the skills they need, according to their team's and personal goals.
Fundamental Frank
Goal: Take data skills from zero to hero
3 - Learn by doing
Learn effectively using deliberate practice. Execute realistic data projects using professional tools . Get help from your personal mentor in your (bi-)weekly coaching call or via chat. Have fun!
