This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

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.

• Understanding core data concepts.
• Knowledge of working with relational data in the cloud.
• Knowledge of working with non-relational data in the cloud.
• Knowledge of data analysis and visualization concepts.

• Ingest, clean, and transform data
• Model data for performance and scalability
• Design and create reports for data analysis
• Apply and perform advanced report analytics
• Manage and share report assets

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.

Lesson

• Data Analytics and Microsoft
• Getting Started with Power BI

After completing this module, you 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: Prepare 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.

Lesson

• Data Analytics and Microsoft
• Optimize performance
• Resolve data errors

After completing this module, you 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 3: Clean, Transform, and Load Data in Power BI

This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

Lesson

• Data shaping
• Enhance the data structure
• Data Profiling

After completing this module, students will be able to:

• Apply data shape transformations
• Enhance the structure of the data
• Profile and examine the data

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 modelling issues, including relationships, security, and performance.

Lesson

• Introduction to data modelling
• Working with tables
• Dimensions and Hierarchies

After completing this module, you will be able to:

• Understand the basics of data modelling
• 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.

Lesson

• Introduction to DAX
• Real-time dashboards
• Advanced DAX

After completing this module, you 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

• Optimize the data model for performance
• Optimize DirectQuery Models

• Understand the importance of variables
• Enhance the data model
• Optimize the storage model

• Design a report
• Enhance the report

• Design a report page layout
• Select and add effective visualizations
• Add basic report functionality
• Add report navigation and interactions

• Create a Dashboard
• Real-time Dashboards
• Enhance a Dashboard

• Create a Dashboard
• Understand real-time Dashboards
• Enhance Dashboard usability

• Advanced Analytics
• Data Insights through AI visuals

• Use the Analyze feature
• Identify outliers in data
• Use the AI visuals
• Use the Advanced Analytics custom visual

• Creating Workspaces
• Sharing and Managing Assets

• Create and manage a workspace
• Understand workspace collaboration
• Monitor workspace usage and performance
• Distribute an App

• Parameters
• Datasets

• Manage datasets and parameters
• Build dynamic reports with parameters
• Schedule dataset refresh
• Troubleshoot gateway service connectivity

• Security in Power BI

• Implement row-level security using both the Static and Dynamic methods