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.
Getting Started with Microsoft Fabric
深入了解一个主题并学习基础知识。
初级 等级
推荐体验
推荐体验
初级
A basic understanding of data analytics and exposure to data pipelines. Experience with DAX, KQL, or SQL enhances readiness for advanced modules.
2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级
推荐体验
推荐体验
初级
A basic understanding of data analytics and exposure to data pipelines. Experience with DAX, KQL, or SQL enhances readiness for advanced modules.
2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
您将学到什么
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.
您将获得的技能
您将学习的工具
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
11 项作业
授课语言：英语（English）
91%
of learners achieved a positive career outcome
了解顶级公司的员工如何掌握热门技能
该课程共有5个模块
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.
涵盖的内容
8个视频3篇阅读材料2个作业
8个视频•总计55分钟
- Course Introduction•7分钟
- Course Objectives•4分钟
- Introduction to Data Analytics•10分钟
- Data Analytics Requirements•7分钟
- Data Analyst (Roles and Responsibilities)•6分钟
- Roles in Data World (The Data Team)•6分钟
- Introduction to Power BI•8分钟
- Get Started Building with Power BI•8分钟
3篇阅读材料•总计90分钟
- Welcome to the Course•30分钟
- Overview of Getting Started with Microsoft Data Analytics•30分钟
- Meet and Greet•30分钟
2个作业•总计65分钟
- Getting started with Microsoft Data Analytics - Assessment•35分钟
- Introduction to Microsoft Data Analytics - Knowledge Check•30分钟
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.
涵盖的内容
9个视频1篇阅读材料2个作业
9个视频•总计63分钟
- What is Microsoft Fabric?•7分钟
- Configuring the Fabric Admin Portal - Demo•4分钟
- Data Gateway Types - Overview•9分钟
- Managing Fabric capacity•9分钟
- Fabric-enabled workspace settings and access controls - Demo•6分钟
- Create a Custom Power BI Report Theme - Demo•8分钟
- Create and manage a Power BI Desktop Project - Demo•7分钟
- Workspace Version Control - Demo•4分钟
- OneLake security overview - Microsoft Fabric•8分钟
1篇阅读材料•总计30分钟
- Overview of Microsoft Fabric: Introduction & Core Components•30分钟
2个作业•总计65分钟
- Microsoft Fabric: Introduction & Core Components - Assessment•35分钟
- Introduction to Microsoft Fabric - Knowledge Check•30分钟
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.
涵盖的内容
9个视频1篇阅读材料2个作业
9个视频•总计60分钟
- Data Ingestion - Demo•6分钟
- Create and manage shortcuts - Demo•5分钟
- File partitioning for analytics workloads - Demo•8分钟
- Functions, and stored procedures - Overview•8分钟
- Enrich data by adding new columns or tables - Demo•8分钟
- Data Copying•7分钟
- Adding stored procedures, notebooks, and dataflows to a data pipeline•9分钟
- Schedule data pipelines - Demo•6分钟
- Schedule dataflows and notebooks - Demo•4分钟
1篇阅读材料•总计30分钟
- Overview of Microsoft Fabric: Advanced Data Management and Transformation Techniques•30分钟
2个作业•总计65分钟
- Microsoft Fabric: Advanced Data Management and Transformation Techniques - Assessment•35分钟
- Data Management and Transformation Techniques - Knowledge Check•30分钟
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.
涵盖的内容
8个视频1篇阅读材料2个作业
8个视频•总计56分钟
- Data Cleansing - Demo•10分钟
- Denormalize data - Overview•8分钟
- Aggregate or de-aggregate data - Demo•8分钟
- Merge or join data - Overview•6分钟
- Data types Conversion - Demo•3分钟
- Data Filtering - Demo•8分钟
- Identify Performance Bottlenecks - SQL Server•4分钟
- Resolve issues with Delta table file sizes•9分钟
1篇阅读材料•总计30分钟
- Overview of Microsoft Fabric: Comprehensive Data Transformation and Optimization Techniques•30分钟
2个作业•总计65分钟
- Microsoft Fabric: Comprehensive Data Transformation and Optimization Techniques - Assessment•35分钟
- Data Transformation and Optimization Techniques - Knowledge Check•30分钟
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.
涵盖的内容
13个视频3篇阅读材料3个作业
13个视频•总计88分钟
- Descriptive & Diagnostic Analytics - Overview•7分钟
- Data Profiling - Demo•7分钟
- SQL Querying - Demo•8分钟
- Datasets querying using the XMLA - Demo•6分钟
- Choose a storage mode•7分钟
- Use cases for DAX Studio and Tabular Editor 2 - Overview•6分钟
- Star schema for a semantic model - Demo•5分钟
- Implement relationships - Demo•6分钟
- DAX Calculations and Functions - Demo•5分钟
- Query Performance Improvements - Demo•6分钟
- DAX Performance Optimization - Demo•9分钟
- Semantic Model Optimization Tools - Demo•7分钟
- Incremental Refresh - Demo•9分钟
3篇阅读材料•总计80分钟
- Overview of Microsoft Fabric: Explore, Analyze Data with DAX and Semantic Models•30分钟
- Course Conclusion and Summary•20分钟
- What’s Next and Best Practices?•30分钟
3个作业•总计65分钟
- Microsoft Fabric: Explore, Analyze Data with DAX and Semantic Models - Assessment•35分钟
- Data Acquisition, Modeling, and Fundamental Analytics - Knowledge Check•15分钟
- Advanced Analytics, Performance Optimization, and Deployment - Knowledge Check•15分钟
位教师
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提供方
Whizlabs
Providing certification training since the year 2000, Whizlabs is the pioneer among online training providers across the globe. We are dedicated to helping you learn the skills you need to transform your career in the IT industry. We provide certification training in the form of Video Courses, Practice Tests, Hands-on Labs and Sandbox in various disciplines such as Cloud Computing, DevOps, Cyber Security, Java, Big Data, Snowflake, CompTIA, Agile, Linux, CCNA, Blockchain, and much more.
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