Module 1: Get Started with Microsoft Data Analytics This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio. Data Analytics and Microsoft Getting Started with Power BI After completing this module, students will be able to: Explore the different roles in data Identify the tasks that are performed by a data analyst Describe the Power BI landscape of products and services Use the Power BI service

Module 2: Getting Data in Power BI This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it. Data Analytics and Microsoft Optimize Performance Resolve Data Errors Lab : Preparing Data in Power BI Desktop Prepare Data After completing this module, students will be able to: Identify and retrieve data from different data sources Understand the connection methods and their performance implications Use Microsoft Dataverse Connect to a data flow

Module 4: Design a Data Model in Power BI This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance. Introduction to data modeling Working with tables Dimensions and Hierarchies Lab : Data Modeling in Power BI Desktop Create Model Relationships Configure Tables and Column Properties Create hierarchies After completing this module, students will be able to: Understand the basics of data modeling Define relationships and their cardinality Implement Dimensions and Hierarchies

Module 5: Create Model Calculations using DAX in Power BI This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems. Introduction to DAX Real-time dashboards Advanced DAX Lab : Introduction to DAX in Power BI Desktop Create calculated tables Create calculated columns Create measures Lab : Advanced DAX in Power BI Desktop Use the CALCULATE() function to manipulate filter context Use Time Intelligence functions After completing this module, students will be able to: Understand DAX Use DAX for simple formulas and expressions Create calculated tables and measures Build simple measures Work with Time Intelligence and Key Performance Indicators

Module 6: Optimize Model Performance in Power BI In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance. Optimize the data model for performance Optimize DirectQuery Models After completing this module, students will be able to: Understand the importance of variables Enhance the data model Optimize the storage model

Module 7: Create Reports in Power BI This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered. Design a report Enhance the report Lab : Designing a report in Power BI Desktop Design a report Configure visual fields and format properties Lab : Enhancing reports with interaction and formatting in • • Power BI Desktop Create and configure Sync Slicers Create a drillthrough page Apply conditional formatting Create and use Bookmarks After completing this module, students will be able to: Design a report page layout Select and add effective visualizations Add basic report functionality Add report navigation and interactions

Module 8: Create Dashboards in Power BI In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights. Create a Dashboard Real-time Dashboards Enhance a Dashboard Lab : Creating a Dashboard in Power BI Service Create a Dashboard Pin visuals to a Dashboard Use Q&A to create a dashboard tile After completing this module, students will be able to: Create a Dashboard Understand real-time Dashboards Enhance Dashboard usability

Module 9: Identify Patterns and Trends in Power BI This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights. Advanced Analytics Data Insights through AI visuals Lab : Data Analysis in Power BI Desktop Create animated scatter charts Use the visual to forecast values After completing this module, students will be able to: Use the Analyze feature Identify outliers in data Use the AI visuals Use the Advanced Analytics custom visual

Module 10: Create and Manage Workspaces in Power BI This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App. Creating Workspaces Sharing and Managing Assets After completing this module, students will be able to: Create and manage a workspace Understand workspace collaboration Monitor workspace usage and performance Distribute an App

Module 11: Manage Files and Datasets in Power BI This module will introduce you to parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options. Parameters Datasets After completing this module, students will be able to: Manage datasets and parameters Build dynamic reports with parameters Schedule dataset refresh Troubleshoot gateway service connectivity

Module 12: Row-level Security in Power BI This module will introduce you to row-level security, both static and dynamic methods, and how to implement. Security in Power BI Lab : Enforce Row-Level Security Configure many-to-many relationships Enforce row-level security After completing this module, students will be able to: Implement row-level security using both the Static and Dynamic methods