Professional training

Data Science and Classical Machine Learning – training courses

Data science training on scikit-learn, feature engineering, MLflow, Spark, Databricks and KNIME.

Data science creates value when data is prepared cleanly, models are chosen sensibly and results are communicated transparently. Our courses cover the whole path: from data preparation and exploratory analysis through classical methods such as classification, regression and clustering to model evaluation and MLOps basics. Data Science and Classical Machine Learning is a one-day workshop with compact input and exercises on realistic datasets. You work with Python, SQL and established platforms and take home notebooks, templates and checklists for your own projects.