Data Platforms Courses

Microsoft Fabric: The Ultimate Guide (with Projects)

Master Microsoft Fabric—the all-in-one data platform that brings together data warehousing, engineering, analytics, and real-time intelligence. In this hands-on course, you’ll learn how to design and manage robust data pipelines, build semantic models, create interactive dashboards in Power BI, and orchestrate workflows using Data Factory and Spark. With multi-tool projects and real-world scenarios, you'll gain practical experience and the confidence to lead data initiatives in any organisation.

Note: It is a pre-requisite for this course to have access to either your company’s Azure account or your own personal Azure account that has been created at least 90 days ago.

Who is the course for?

  • Data Engineers, Analysts, and BI professionals seeking end-to-end expertise in Microsoft Fabric

  • Professionals aiming to build data solutions across data warehousing, transformation, modelling, and visualisation

  • Learners preparing for the DP-600 certification

  • Anyone with access to an Azure account who wants to gain practical, job-ready skills in one of the most in-demand platforms in modern data architecture

What do students say?

  • Clear, structured, and beginner-friendly – This course walks learners through Microsoft Fabric step by step, with well-paced instruction, practical projects, and a strong focus on building real-world understanding from the ground up.

  • Covers key Fabric components with hands-on practice – From data warehousing to pipelines and real-time analytics, the course offers a comprehensive overview of the Fabric ecosystem, reinforced through thoughtful examples and guided exercises.

  • Highly rated teaching and presentation style – Learners consistently praise the clarity, pacing, and depth of explanation, calling it one of the best Microsoft Fabric courses available online. Ideal for both newcomers and experienced professionals looking to fill knowledge gaps.

Azure Data Factory | Data Engineering on Azure and Fabric

Master Azure Data Factory and Microsoft Fabric to build modern, cloud-based data integration solutions. This hands-on course covers everything from storage and pipelines to DevOps automation and access control. Learn how to orchestrate and transform data at scale using Azure Data Lake, Azure SQL, and the full suite of Data Factory tools—on both Azure and Fabric. Perfect for those preparing for the DP-203 or DP-600 certifications.

Who is the course for?

  • Aspiring and practising data engineers working with cloud-based data platforms

  • Anyone seeking hands-on experience with Azure Data Factory, Microsoft Fabric, and related services such as Azure Blob Storage, Data Lake Gen2, and SQL

  • Those interested in learning about CI/CD practices using Azure DevOps within the context of data engineering workflows

What do students say?

  • Clear, practical, and hands-on – Learners value the well-structured lessons, detailed walkthroughs, and real-world examples that make it easy to follow along and apply concepts directly in Azure Data Factory and the broader data ecosystem (Data Lakes, Warehouses, and more).

  • Ideal for beginners and professionals alike – The course provides a strong foundation for those new to Azure while also delivering industry-relevant insights, making it useful for upskilling, refreshing knowledge, or preparing for certifications.

  • Exceptional teaching with industry focus – Praised for its clarity, pacing, and depth, this course consistently ranks among the best ADF courses thanks to its focus on practical use cases, clean explanations, and a calm, engaging teaching style.

Azure Databricks and Spark SQL (Python)

Master Azure Databricks with PySpark in this hands-on course designed to teach you advanced data engineering and analytics using the Databricks Lakehouse Platform. From Spark SQL to Delta Live Tables, you’ll work through practical exercises, code-alongs, and real-world projects—using services like Azure Data Lake Gen2, Azure DevOps, and Databricks Repos. With detailed notebooks and lifetime access, this course equips you with the skills to manage, transform and analyse large-scale data with confidence.

Who is the course for?

  • Data engineers, data scientists, and analysts who want to learn or advance their skills with PySpark and Databricks

  • Professionals working in Azure cloud environments, especially those using Databricks Lakehouse Architecture

  • Anyone seeking hands-on experience with notebooks, dashboards, and production-grade Spark SQL pipelines

What do students say?

  • Comprehensive and industry-relevant – Covers everything from Spark SQL and Delta Live Tables to CI/CD, Databricks CLI, and Medallion architecture, making it a go-to course for anyone wanting real-world Databricks skills in the Azure ecosystem.

  • Clear, engaging, and practical teaching – Learners consistently highlight the instructor’s calm, structured, and easy-to-follow delivery style, paired with hands-on demos and challenge sections that bridge theory and application.

  • Ideal for beginners and professionals alike – Whether you’re starting from scratch or looking to deepen your expertise, this course offers a well-paced, detailed learning experience that’s helped many succeed in interviews, projects, and day-to-day roles.

The Complete MongoDB Course

Master one of the world’s leading NoSQL databases—MongoDB—in this comprehensive, hands-on course. Learn how to work with document-based data using Mongo Query Language (MQL), build powerful aggregation pipelines, and take full advantage of MongoDB’s flexible schema design. With quizzes, assignments, and guided walkthroughs, this course will take you from complete beginner to confident practitioner—ready to work with real-world datasets and modern data architectures.

Who is the course for?

  • Developers, analysts, and data professionals looking to gain practical skills with NoSQL databases

  • Beginners who want to understand how document databases differ from traditional relational models

  • Anyone working with or storing large, complex, or unstructured data who needs flexibility and performance

  • Learners interested in mastering MongoDB's query language, data modelling, and aggregation framework

What do students say?

  • Well-structured and beginner-friendly – The course is designed to take learners from foundational concepts to intermediate-level MongoDB skills with clear, step-by-step instruction and thoughtfully organised modules.

  • Practical and engaging learning – Rich with real-world examples, guided exercises, and practical queries, the course equips students to apply what they learn with confidence.

  • Concise explanations with visual clarity – Students consistently praise the instructor’s ability to break down complex ideas into digestible parts, using clear visuals and a calm, easy-to-follow teaching style.