Data Scientist

From Python basics to building and deploying machine learning models. Aligned with industry expectations for data science roles.

0 of 19 modules mastered

Trainee / Intern

Understands Python basics and can run existing notebooks. Familiar with basic statistics concepts.

Can manipulate data with NumPy and pandas, produce visualizations, and run pre-built ML models. Works from existing notebooks and templates.

Builds ML pipelines from scratch, selects appropriate models, tunes hyperparameters, evaluates properly. Can deploy models as APIs.

Designs end-to-end ML systems, production pipelines, A/B testing frameworks. Deep understanding of statistics, model monitoring, and business impact.

System DesignComing soon