Self-paced · Start any time
AI training for data analysts
Move from dashboards to models: feature engineering, forecasting, and shipping analysis that survives contact with production.
Analysts are the closest role to production AI value and the most often skipped over for it. This track converts SQL and reporting skills into applied modelling and AI-assisted analysis, self-paced from day one.
Where most data analysts are today
- Reporting on what happened, rarely on what happens next
- Ad-hoc notebooks that nobody can reproduce
- Handing modelling work to a data science team with a queue
What you can do after the program
- Baseline forecasting and classification models you own end to end
- Reproducible pipelines and versioned datasets
- LLM-assisted analysis with verification, not vibes
Skills covered
Feature engineeringForecastingModel evaluationReproducible pipelinesLLM-assisted analysis
Recommended programs
Questions
Is Python required?
Comfort with SQL is required. Python is taught from an analyst's starting point, so basic scripting is enough.
Will I get a credential?
Yes — a verifiable Altaris AI diploma with a public verification page you can link from LinkedIn.