30-Day Learning Paths
for Every Data Career
Hand-picked videos, real hands-on projects, and capstones — structured day-by-day so you go from zero to interview-ready in 30 days.
Build the pipelines that move and transform data at scale. Master Spark, Kafka, Airflow, dbt, and all three major cloud platforms with real lakehouse architecture projects.
Turn raw data into business decisions. Master SQL, Power BI, Tableau, Python analytics, A/B testing, and cohort analysis — the tools that get you hired and trusted.
Build models that predict and explain. Master Python for data science, statistics, machine learning (scikit-learn, XGBoost), deep learning, and model deployment with MLflow.
Build and ship intelligent systems. Learn PyTorch, transformers, LLMs, RAG pipelines, fine-tuning, LangChain, vector databases, and production MLOps at cloud scale.
Ensure data is trusted, compliant, and self-service. Master DAMA-DMBOK, Unity Catalog, Great Expectations, DataHub, GDPR/CCPA, MDM, and data contracts with real hands-on labs.
Design, program, and commission building and facility management systems. Master PLCs, BMS platforms, HVAC control, industrial protocols, and data center commissioning from the ground up.