Microsoft Fabric Analytics Engineer

Microsoft via Coursera Professional Certificate

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Ready to move beyond dashboards into enterprise data architecture? This Advanced Professional Certificate helps experienced data professionals design, automate, and deploy end-to-end analytics solutions using Microsoft Fabric. Whether you’re a data analyst advancing into engineering, a BI developer expanding into lakehouse architecture, or a data engineer transitioning platforms, this program builds the production-ready skills employers expect. With data scientist roles projected to grow 35% through 2032 (BLS.gov), demand for scalable analytics expertise is high. In this program, you will: Architect lakehouse solutions using Medallion design patterns Build automated pipelines with integrated quality controls Design real-time dashboards powered by streaming data Implement enterprise security and CI/CD deployment workflows Gain hands-on experience with Microsoft Fabric, Power BI, Delta Lake, Azure DevOps, and Microsoft Purview. Projects include optimizing Delta tables, orchestrating pipelines with PySpark, building real-time analytics using Eventstream and KQL, designing star schemas with advanced DAX, and deploying governed solutions via Git-enabled CI/CD. Each course culminates in a portfolio project demonstrating enterprise architecture, security (RLS/OLS), and deployment best practices. Ideal for those with SQL, data modeling, and cloud experience looking to become Data Engineers, Analytics Engineers, or Fabric Solution Architects.

Syllabus

Course 1: Fabric Foundations
Course 2: Data Storage & Processing
Course 3: Data Factory & Orchestration
Course 4: Real-Time Intelligence & Semantic Modeling
Course 5: Security, Governance & DevOps
Course 6: Launching Your Fabric Analytics Career

Courses

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Advance your automation capabilities by building reliable, production-ready data pipelines in Microsoft Fabric. This hands-on course focuses on pipeline engineering using Fabric Data Factory and Spark orchestration to help you transform raw data into trusted, analytics-ready assets. You’ll create reusable transformations in Dataflows Gen2 using Power Query and schedule refreshes for business users. You’ll design Fabric Data Pipelines with parameters, triggers, and structured error-handling logic, and configure Copy Jobs to ingest incremental CSV and Parquet files from cloud storage. Moving into code-based processing, you’ll author PySpark notebooks for multi-step transformations with optimized Delta outputs, implement data quality validation rules to prevent bad loads, and monitor pipeline, notebook, and job logs to diagnose and resolve failures efficiently. By the end of the course, you’ll be equipped to automate complex data workflows, enforce quality controls, and orchestrate Spark jobs with performance monitoring—developing the engineering discipline required to deliver scalable, enterprise-grade data pipelines.
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Master the data storage patterns and processing techniques that power enterprise analytics in Microsoft Fabric. In this hands-on course, you’ll design scalable lakehouse solutions and build production-grade storage architectures that support performance, governance, and advanced analytics workloads. You’ll implement a Medallion architecture in OneLake using bronze, silver, and gold layers, and register lineage in Microsoft Purview. You’ll ingest data into a Fabric Lakehouse using pipelines, Copy Jobs, and notebooks while selecting appropriate Delta table types. You’ll query data through the SQL Endpoint for analysis and use notebooks for programmatic access, then enforce consistency with time-travel queries and MERGE-based ACID transactions using Delta Lake. You’ll also optimize tables with OPTIMIZE, ZORDER, and VACUUM operations and design a Fabric Warehouse schema in T-SQL to support star-schema analytics and incremental loads. By the end, you’ll have practical experience building optimized Lakehouse and Warehouse solutions and the core data engineering skills required for enterprise Fabric implementations.
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Begin your Microsoft Fabric journey with this hands-on foundations course designed to build platform confidence before advancing into deeper architecture topics. You’ll explore how Microsoft Fabric unifies data engineering, analytics, and governance in a single SaaS environment. Through guided exercises, you’ll navigate Fabric workspaces, review capacities and licensing constraints, and create your first Lakehouse and Warehouse. You’ll evaluate when to use Warehouse versus Lakehouse for analytics scenarios, explore Data Factory orchestration options for data movement, configure OneLake shortcuts to virtualize external data without duplication, and run impact analysis to assess downstream dependencies and change risk. By the end of the course, you’ll have hands-on experience with Fabric workspaces, Lakehouse, Warehouse, Data Factory, and OneLake, along with foundational skills in workspace navigation, data virtualization, capacity planning, and governed change management.
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Turn your Microsoft Fabric expertise into real career momentum with this job-focused capstone course designed for program completers entering the market. Through guided, hands-on activities, you’ll build a professional portfolio that highlights your Fabric projects, refine your resume and application materials for analytics engineer and data engineering roles, and participate in a simulated technical interview enhanced with AI-driven coaching. You’ll learn how to clearly articulate your skills, position your experience for Microsoft Fabric Analytics Engineer opportunities, and confidently respond to scenario-based and technical interview questions aligned to CB2-level expectations. This course is ideal for learners ready to move from training to employment. By the end, you’ll be able to present your Fabric expertise strategically, tailor your applications to high-impact roles, and demonstrate interview readiness that converts technical capability into job offers.
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Deliver live, responsive analytics by combining real-time intelligence with advanced semantic modeling in Microsoft Fabric. This hands-on course guides you through streaming architecture and BI optimization so you can build scalable dashboards that support high-performance decision-making. You’ll write KQL queries with time-series windowing to power real-time dashboards and configure Eventstream to capture and route streaming data to destination sinks. You’ll design Eventhouse table schemas with retention policies to support compliance and performance needs. Moving into semantic modeling with Power BI, you’ll build star-schema models with correct relationships and hierarchies, write optimized DAX measures using iterators and time-intelligence functions, configure calculation groups with dynamic format strings, implement incremental refresh and aggregations, and use Performance Analyzer to resolve report bottlenecks. By the end of this course, you’ll be able to design real-time analytics solutions and production-grade semantic models that deliver fast, governed, and scalable BI experiences.
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Strengthen your ability to operate analytics solutions at enterprise scale by mastering security, governance, and deployment automation in Microsoft Fabric. This hands-on course focuses on the operational discipline required to move from working prototypes to secure, production-ready implementations. You’ll monitor and scale Fabric capacities to balance performance and cost, configure workspace roles and item permissions using least-privilege principles, and implement row-level, object-level, and column-level security within semantic models. You’ll enable Git integration for version control, manage feature branches, and resolve merge conflicts. You’ll also configure multi-stage deployment pipelines, promote items across environments with environment-specific rules, and automate deployments using .pbip files and Azure DevOps pipelines. By the end of the course, you’ll be able to secure, govern, and deploy complete Fabric solutions with clear architectural documentation—ensuring reliability, compliance, and scalability in enterprise environments.