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Find the skills that fit your goal.
LEARN WITH DIRECTION
Follow practical learning paths, strengthen your technical foundation, build real-world projects, and prepare for interviews.
Practical topics, clear stages, sample progress onlyA connected learning experience can help you decide what to learn, apply it, and carry that understanding forward.
Find the skills that fit your goal.
Follow a clear, staged roadmap.
Reinforce ideas with focused exercises.
Apply concepts to practical projects.
Connect skills to interview topics.
See what you have explored next.
Start with the tools and concepts that support your direction. Filter by category, difficulty, or search by name.
Query, shape, and understand relational data with practical SQL foundations.
Build a dependable programming foundation for automation, data work, and practical tools.
Learn cloud data warehouse concepts, data loading, transformation, governance, and performance.
Explore lakehouse concepts, Spark workloads, data organization, and platform operations.
Use Python APIs to transform data across distributed Spark workloads.
Build a practical foundation in cloud identity, storage, compute, networking, and operations.
Design data movement and orchestration flows using pipelines, activities, and linked services.
Learn analytical workspace concepts, data integration, and warehouse design patterns in Azure.
Build foundational knowledge of cloud identity, storage, compute, and event-driven services.
Turn prepared data into clear models, measures, and decision-support reports.
Build modular, tested, documented SQL transformations for analytics workflows.
Orchestrate dependable workflows with explicit dependencies, retries, and monitoring.
Connect ingestion, storage, transformation, quality, and orchestration into dependable data systems.
Translate business questions into trustworthy analysis, useful metrics, and clear communication.
Organize business measures and reporting into consistent, decision-ready information.
Track changes, collaborate through branches, and keep a clear history of project work.
Automate repeatable checks and releases with clear feedback and controlled changes.
Connect development and operations through automation, feedback, reliability, and shared ownership.
Package applications and dependencies into portable containers with repeatable runtime behavior.
A structured sequence of useful skills, practice, project ideas, and interview preparation for a role you are exploring.
Build the foundations for dependable data pipelines and platforms.
Connect cloud infrastructure with practical data integration patterns.
Develop warehouse, loading, transformation, and governance skills.
Move from business questions to clear, explainable analysis.
Strengthen programming foundations and build useful, testable tools.
Learn cloud service foundations, secure access, and operational design.
Create tested, documented transformation layers for analytics teams.
Move from foundations through platform skills into practical project and interview preparation.
Learning route preview. Completing it does not guarantee employment.
Move from warehouse foundations to loading, transformation, performance, security, and interview practice.
6 guided topic areas
6 guided topic areas
5 guided topic areas
7 guided topic areas
6 guided topic areas
5 guided topic areas
A personal dashboard could bring topics, practice, and projects together around your learning plan.
Demo Progress · sample onlyPractice connecting the business need, tools, and technical decisions through project-sized learning.
Bring operational data together in a consistent, analysis-ready format.
Move source files into governed storage with observable processing steps.
Prepare trusted analytical tables from staged source data.
Surface incomplete, duplicated, or inconsistent records before reporting.
Process periodic data updates with repeatable, recoverable runs.
Help teams review a small set of consistently defined business measures.
Tell us about your current experience, target role, and skills you want to build.