Data Analyst / BI Engineer
Build depth in SQL, statistics, dashboards, metrics, and business communication for analytics and BI interviews.
Roadmap
Use these paths to connect concepts, interview practice, and deeper reference material.
Paths
Pick the closest target role. Each roadmap connects what to learn, what to practice, and what to review.
Build depth in SQL, statistics, dashboards, metrics, and business communication for analytics and BI interviews.
Prepare across data modeling, pipeline design, orchestration, cloud systems, reliability, and data quality.
Connect modeling, evaluation, deployment, monitoring, MLOps, and production ML system design.
Focus on LLM applications, RAG, agents, evaluations, safety, observability, and AI product architecture.
Plan preparation around applied AI products, workflow design, integration patterns, and production readiness.
Strengthen programming, data structures, APIs, databases, debugging, backend design, and system tradeoffs.
Resource bridge
Use the resource library for open-source books, videos, repositories, and practice platforms that support the roadmap without adding unnecessary steps.