Getting Started with Microsoft Fabric

Erweitern Sie Ihre Kenntnisse mit Coursera Plus für 239 $/Jahr (normalerweise 399 $). Jetzt sparen.

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen. Sehen Sie sich die Sprachen an, die wir anbieten.

Getting Started with Microsoft Fabric

Dozent: Whizlabs Instructor

2.354 bereits angemeldet

Bei enthalten

Mehr erfahren

5 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

5 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Data Integration
Kategorie: Data Cleansing
Kategorie: Data Modeling
Kategorie: Extract, Transform, Load
Kategorie: Data Pipelines
Kategorie: Data Governance
Kategorie: Data Analysis
Kategorie: Data Warehousing
Kategorie: Data Analysis Expressions (DAX)
Kategorie: Data Transformation
Kategorie: Analytics

Werkzeuge, die Sie lernen werden

Kategorie: Dashboard
Kategorie: Power BI
Kategorie: Microsoft Azure

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Bewertungen

11 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 5 Module

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.

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.

Das ist alles enthalten

8 Videos3 Lektüren2 Aufgaben

8 VideosInsgesamt 55 Minuten

Course Introduction7 Minuten
Course Objectives4 Minuten
Introduction to Data Analytics10 Minuten
Data Analytics Requirements7 Minuten
Data Analyst (Roles and Responsibilities)6 Minuten
Roles in Data World (The Data Team)6 Minuten
Introduction to Power BI8 Minuten
Get Started Building with Power BI8 Minuten

3 LektürenInsgesamt 90 Minuten

Welcome to the Course30 Minuten
Overview of Getting Started with Microsoft Data Analytics30 Minuten
Meet and Greet30 Minuten

2 AufgabenInsgesamt 65 Minuten

Introduction to Microsoft Data Analytics - Knowledge Check30 Minuten
Getting started with Microsoft Data Analytics - Assessment35 Minuten

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.

Das ist alles enthalten

9 Videos1 Lektüre2 Aufgaben

9 VideosInsgesamt 63 Minuten

What is Microsoft Fabric?7 Minuten
Configuring the Fabric Admin Portal - Demo4 Minuten
Data Gateway Types - Overview9 Minuten
Managing Fabric capacity9 Minuten
Fabric-enabled workspace settings and access controls - Demo6 Minuten
Create a Custom Power BI Report Theme - Demo8 Minuten
Create and manage a Power BI Desktop Project - Demo7 Minuten
Workspace Version Control - Demo4 Minuten
OneLake security overview - Microsoft Fabric8 Minuten

1 LektüreInsgesamt 30 Minuten

Overview of Microsoft Fabric: Introduction & Core Components30 Minuten

2 AufgabenInsgesamt 65 Minuten

Introduction to Microsoft Fabric - Knowledge Check30 Minuten
Microsoft Fabric: Introduction & Core Components - Assessment35 Minuten

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.

Das ist alles enthalten

9 Videos1 Lektüre2 Aufgaben

9 VideosInsgesamt 60 Minuten

Data Ingestion - Demo6 Minuten
Create and manage shortcuts - Demo5 Minuten
File partitioning for analytics workloads - Demo8 Minuten
Functions, and stored procedures - Overview8 Minuten
Enrich data by adding new columns or tables - Demo8 Minuten
Data Copying7 Minuten
Adding stored procedures, notebooks, and dataflows to a data pipeline9 Minuten
Schedule data pipelines - Demo6 Minuten
Schedule dataflows and notebooks - Demo4 Minuten

1 LektüreInsgesamt 30 Minuten

Overview of Microsoft Fabric: Advanced Data Management and Transformation Techniques30 Minuten

2 AufgabenInsgesamt 65 Minuten

Data Management and Transformation Techniques - Knowledge Check30 Minuten
Microsoft Fabric: Advanced Data Management and Transformation Techniques - Assessment35 Minuten

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.

Das ist alles enthalten

8 Videos1 Lektüre2 Aufgaben

8 VideosInsgesamt 56 Minuten

Data Cleansing - Demo10 Minuten
Denormalize data - Overview8 Minuten
Aggregate or de-aggregate data - Demo8 Minuten
Merge or join data - Overview6 Minuten
Data types Conversion - Demo3 Minuten
Data Filtering - Demo8 Minuten
Identify Performance Bottlenecks - SQL Server4 Minuten
Resolve issues with Delta table file sizes9 Minuten

1 LektüreInsgesamt 30 Minuten

Overview of Microsoft Fabric: Comprehensive Data Transformation and Optimization Techniques30 Minuten

2 AufgabenInsgesamt 65 Minuten

Data Transformation and Optimization Techniques - Knowledge Check30 Minuten
Microsoft Fabric: Comprehensive Data Transformation and Optimization Techniques - Assessment35 Minuten

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.

Das ist alles enthalten

13 Videos3 Lektüren3 Aufgaben

13 VideosInsgesamt 88 Minuten

Descriptive & Diagnostic Analytics - Overview7 Minuten
Data Profiling - Demo7 Minuten
SQL Querying - Demo8 Minuten
Datasets querying using the XMLA - Demo6 Minuten
Choose a storage mode7 Minuten
Use cases for DAX Studio and Tabular Editor 2 - Overview6 Minuten
Star schema for a semantic model - Demo5 Minuten
Implement relationships - Demo6 Minuten
DAX Calculations and Functions - Demo5 Minuten
Query Performance Improvements - Demo6 Minuten
DAX Performance Optimization - Demo9 Minuten
Semantic Model Optimization Tools - Demo7 Minuten
Incremental Refresh - Demo9 Minuten

3 LektürenInsgesamt 80 Minuten

Overview of Microsoft Fabric: Explore, Analyze Data with DAX and Semantic Models30 Minuten
Course Conclusion and Summary20 Minuten
What’s Next and Best Practices?30 Minuten

3 AufgabenInsgesamt 65 Minuten

Data Acquisition, Modeling, and Fundamental Analytics - Knowledge Check15 Minuten
Advanced Analytics, Performance Optimization, and Deployment - Knowledge Check15 Minuten
Microsoft Fabric: Explore, Analyze Data with DAX and Semantic Models - Assessment35 Minuten

Dozent

Whizlabs Instructor

Whizlabs

152 Kurse116.196 Lernende

von

Whizlabs

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

Neue Karrieremöglichkeiten mit Coursera Plus

Unbegrenzter Zugang zu 10,000+ Weltklasse-Kursen, praktischen Projekten und berufsqualifizierenden Zertifikatsprogrammen - alles in Ihrem Abonnement enthalten

Mehr erfahren

Bringen Sie Ihre Karriere mit einem Online-Abschluss voran.

Erwerben Sie einen Abschluss von erstklassigen Universitäten – 100 % online

Erkunden Sie die Abschlüsse

Schließen Sie sich mehr als 3.400 Unternehmen in aller Welt an, die sich für Coursera for Business entschieden haben.

Schulen Sie Ihre Mitarbeiter*innen, um sich in der digitalen Wirtschaft zu behaupten.

Mehr erfahren

Häufig gestellte Fragen

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.