Data analytics, powered by robust platforms like Microsoft Fabric and Power BI, is transforming how businesses extract insights and drive decisions. Microsoft Fabric provides a unified environment for data integration, warehousing, and analytics, while Power BI enables the creation of interactive visualizations and reports. These tools streamline data workflows, foster data-driven cultures, and deliver personalized business intelligence, making them essential in today's data-centric world.
The "Getting Started with Microsoft Fabric" course is designed for individuals seeking to build a strong foundation in modern data analytics practices using Microsoft's cutting-edge technologies. This course is tailored to provide a comprehensive understanding of Microsoft Fabric and Power BI, equipping you with the skills to excel in data-related roles. Whether you are a budding data analyst, an experienced BI developer, or an IT professional aiming to leverage Microsoft's data ecosystem, this course will provide the knowledge and hands-on experience needed to thrive.
This course delivers approximately 6:30-7:00 hours of video lectures, blending theoretical concepts with practical demonstrations. The curriculum is organized into five modules, each further divided into focused lessons. To reinforce learning and assess comprehension, each module includes assignments in the form of quizzes and in-video questions, ensuring an interactive and engaging learning experience.
Module 1: Getting started with Microsoft Data Analytics
Module 2: Microsoft Fabric: Introduction & Core Components
Module 3: Microsoft Fabric: Advanced Data Management and Transformation Techniques
Module 4: Microsoft Fabric: Comprehensive Data Transformation and Optimization Techniques
Module 5: Microsoft Fabric: Explore, Analyze Data with DAX and Semantic Models
This course aims to equip you with foundational Microsoft Fabric skills, positioning you for potential future industry-recognized certifications and demonstrating your expertise in modern data analytics. - -Some of the important benefits of gaining this knowledge.
By the end of this course, you will be able to
- Validating your knowledge and understanding of Microsoft Fabric's capabilities and data analytics roles.
- Demonstrating your practical skills in data ingestion, transformation, modeling, and reporting within the Microsoft ecosystem.
- Enhancing your career prospects, opening doors to promotions and new job opportunities in data-driven fields.
Overview
Syllabus
- Getting started with Microsoft Data Analytics
- Welcome to Week 1 of the Getting Started with Microsoft Data Analytics course. In this week, we will be introduced to the foundational concepts of data analytics and begin our journey into the Microsoft ecosystem. We will explore the core requirements of data analytics, the roles and responsibilities of a data analyst, and understand the structure of a data team. We will also introduce Power BI and get started with building our first basic reports. By the end of the week, we will be able to understand the basic concepts of data analysis and start to work with Power BI.
- Microsoft Fabric: Introduction & Core Components
- Welcome to Week 2. This week, we will be introduced to the core components and administrative functionalities of Microsoft Fabric. We will learn about the unified analytics platform, Microsoft Fabric, and how to configure its admin portal. We will explore data gateway types, manage Fabric capacity, and set workspace access controls. We will also learn to customize Power BI report themes, manage Fabric Desktop projects, utilize workspace version control, and understand OneLake security. At the end of the week, we will have a solid understanding of Microsoft Fabric's fundamental components and administrative capabilities.
- Microsoft Fabric: Advanced Data Management and Transformation Techniques
- In Week 3, we will be introduced to advanced data management and pipeline orchestration within Microsoft Fabric. We will learn how to ingest data, create and manage shortcuts, and implement file partitioning for efficient analytics. We will explore the use of functions and stored procedures, and techniques to enrich data by adding new columns and tables. We will also cover data copying and the integration of stored procedures, notebooks, and dataflows into data pipelines. By the end of the week, we will be able to schedule data pipelines, dataflows, and notebooks to automate data processing and transformation within Microsoft Fabric.
- Microsoft Fabric: Comprehensive Data Transformation and Optimization Techniques
- Welcome to Week 4. This week, we will be introduced to data transformation and performance optimization techniques within Microsoft Fabric. We will learn to perform data cleansing, denormalize and aggregate data, and merge or join datasets. We will also cover data type conversions, data filtering, and methods to identify performance bottlenecks within SQL Server. By the end of the week, we will be able to resolve issues related to Delta table file sizes and optimize data for efficient analysis within Microsoft Fabric.
- Microsoft Fabric: Explore, Analyze Data with DAX and Semantic Models
- Welcome to Week 5. This week, we will be introduced to the shared responsibility model in AWS to secure AI/ML solutions. We will learn to identify and apply security and privacy considerations for AI systems. By the end of the week, we will explore AWS services and features to assist with the governance and security of AI solutions.
Taught by
Whizlabs Instructor
