PL-300 Microsoft Power BI Data Analyst

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.

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, 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.Lesson

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 3: Cleaning, Transforming, and Loading 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

Shaping the Data
Profiling the Data
Enhance the data structure

Lab : Loading Data in Power BI Desktop

Loading Data

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 modeling issues, including relationships, security, and performance.
Lesson

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.
Lesson

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.
Lesson

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.
Lesson

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.
Lesson

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.
Lesson

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.
Lesson

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.
Lesson

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.
Lesson

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