Overview

In this course, students will learn to plan and execute an endpoint deployment strategy using contemporary deployment techniques and implementing update strategies. The course introduces essential elements of modern management and Microsoft Intune integration. It covers app deployment, management of browser-based applications, and key security concepts such as authentication, identities, access, and compliance policies. Technologies like Microsoft Entra, Windows Autopilot, Microsoft Intune Suite and Microsoft Defender for Endpoint are explored to protect devices and data.

MD-102 is also a core step toward earning the Microsoft 365 Certified: Endpoint Administrator Associate credential.

Target Audience

The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.[/vc_column_text]

Prerequises

The Modern Desktop Administrator must be familiar with M365 workloads and must have strong skills and experience of deploying, configuring, and maintaining Windows 11 and later, and non-Windows devices.

Learnings Objectives

By the end of this training, you’ll be equipped to implement and manage a full endpoint management lifecycle using Microsoft 365 tools. You’ll gain the ability to support modern, secure, and scalable deployments for your organization.

• Deploy and configure Windows and non-Windows devices
• Use Intune for device and application management
• Manage identity and access with Microsoft Entra ID
• Enforce compliance and security policies
• Automate deployment with Autopilot and Configuration Manager

Course Contents

Discover data analysis

In this module, you will:

• Learn about the roles in data.
• Learn about the tasks of a data analyst.

Get started building with Power BI

In this module, you will:

• Learn how Power BI services and applications work together.
• Explore how Power BI can make your business more efficient.
• Learn how to create compelling visuals and reports.

Get data in Power BI

By the end of this module, you’ll be able to:

• Identify and connect to a data source
• Get data from a relational database, like Microsoft SQL Server
• Get data from a file, like Microsoft Excel
• Get data from applications
• Get data from Azure Analysis Services
• Select a storage mode
• Fix performance issues
• Resolve data import errors

Clean, transform, and load data in Power BI

By the end of this module, you’ll be able to:

• Resolve inconsistencies, unexpected or null values, and data quality issues.
• Apply user-friendly value replacements.
• Profile data so you can learn more about a specific column before using it.
• Evaluate and transform column data types.
• Apply data shape transformations to table structures.
• Combine queries.
• Apply user-friendly naming conventions to columns and queries.
• Edit M code in the Advanced Editor.

Design a data model in Power BI

In this module, you will:

• Create common date tables
• Configure many-to-many relationships
• Resolve circular relationships
• Design star schemas

Introduction to creating measures using DAX in Power BI

By the end of this module, you’ll be able to:

• Build quick measures.
• Create calculated columns.
• Use DAX to build measures.
• Discover how context affects DAX measures.
• Use the CALCULATE function to manipulate filters.
• Implement time intelligence by using DAX.

Optimize a model for performance in Power BI

By the end of this module, you will be able to:

• Review the performance of measures, relationships, and visuals.
• Use variables to improve performance and troubleshooting.
• Improve performance by reducing cardinality levels.
• Optimize DirectQuery models with table level storage.
• Create and manage aggregations.

Work with Power BI visuals

In this module, you will:

• Add visualization items to reports.
• Choose an effective visualization.
• Format and configure visualizations.
• Import a custom visual.
• Add an R or Python visual.

Create a data-driven story with Power BI reports

In this module, you will:

• Design a report layout.
• Add buttons, bookmarks, and selections.
• Design report navigation.
• Use basic interactions.
• Use advanced interactions and drillthrough.
• Configure conditional formatting.
• Apply slicing, filtering, and sorting.
• Publish and export reports.
• Comment on reports.
• Use Performance analyzer to tune reports.
• Optimize reports for mobile use.

Create dashboards in Power BI

In this module, you will:

• Set a mobile view.
• Add a theme to the visuals in your dashboard.
• Configure data classification.
• Add real-time dataset visuals to your dashboards.
• Pin a live report page to a dashboard.

Perform analytics in Power BI

In this module, you will:

• Explore statistical summary.
• Identify outliers with Power BI visuals.
• Group and bin data for analysis.
• Apply clustering techniques.
• Conduct time series analysis.
• Use the Analyze feature.
• Use advanced analytics custom visuals.
• Review Quick insights.
• Apply AI Insights.

Work with AI visuals in Power BI

In this module, you will:

• Use the Q&A visual.
• Find important factors with the Key influencers visual.
• Use the Decomposition Tree visual to break down a measure.

Create and manage workspaces in Power BI

In this module, you will:

• Distribute a report or dashboard.
• Monitor usage and performance.
• Recommend a development life cycle strategy.
• Troubleshoot data by viewing its lineage.
• Configure data protection.

Manage datasets in Power BI

In this module, you will:

• Configure row-level security by using a static method.
• Configure row-level security by using a dynamic method.

Durée : 5 jours
Note :

Formation donnée en français, logiciel et manuel en anglais.

Notre tarification inclut le matériel pédagogique.

PROCHAINE(S) DATE(S)

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Classe Virtuelle

19 au 23 octobre 2026 de 8h30 à 16h30

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Classe Virtuelle

14 au 18 Décembre 2026 de 8h30 à 16h30

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