PL-300T00: Microsoft Power BI Data Analyst

What’s included?

• Authorized Courseware
• Intensive Hands on Skills Development with an Experienced Subject Matter Expert
• Hands-on practice on real Servers and extended lab support 1.800.482.3172
• Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
• Academy Code of Honor: Test Pass Guarantee
• Optional: Package for Hotel Accommodations, Lunch and Transportation

Curriculum

1. Outline

   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.

   Lessons

   • Data Analytics and Microsoft
   • Getting Started with Power BI

   Lab : Getting Started in Power BI Desktop

   • Getting Started

   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: 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.

   Lessons

   • Get data from various data sources

   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: 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.

   Lessons

   • Data shaping
   • Enhance the data structure
   • Data Profiling

   Lab : Transforming and 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.

   Lessons

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

   Lab : Data Modeling in Power BI Desktop

   • Create Model Relationships
   • Configure Tables
   • Review the model interface
   • Create Quick Measures

   Lab : Advanced Data Modeling in Power BI Desktop

   • Configure many-to-many relationships
   • Enforce row-level security

   After completing this module, students will be able to:

   • Understand the basics of data modeling
   • Define relationships and their cardinality
   • Implement Dimensions and Hierarchies
   • Create histograms and rankings

    

   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.

   Lessons

   • Introduction to DAX
   • DAX context
   • Advanced DAX

   Lab : Advanced DAX in Power BI Desktop

   • Use the CALCULATE() function to manipulate filter context
   • Use Time Intelligence functions

   Lab : Introduction to DAX in Power BI Desktop

   • Create calculated tables
   • Create calculated columns
   • Create measures

   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.

   Lessons

   • Optimze the model for performance
   • Optimize DirectQuery Models
   • Create and manage Aggregations

   After completing this module, students will be able to:

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

    

   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.

   Lessons

   • Design a report
   • Enhance the report

   Lab : Designing a report in Power BI Desktop

   • Create a live connection 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
   • Improve report performance
   • Design for accessibility

    

   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.

   Lessons

   • 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
   • Configure a Dashboard tile alert
   • 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: Enhance reports for usability and storytelling in Power BI

   This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.

   Lessons

   • Paginated report overview
   • Create Paginated reports

   Lab : Creating a Paginated report in Power BI Desktop

   • Use Power BI Report Builder
   • Design a multi-page report layout
   • Define a data source
   • Define a dataset
   • Create a report parameter
   • Export a report to PDF

   After completing this module, students will be able to:

   • Explain paginated reports
   • Create a paginated report
   • Create and configure a data source and dataset
   • Work with charts and tables
   • Publish a report

    

   Module 10: Perform Advanced Analytics 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.

   Lessons

   • Advanced Analytics
   • Data Insights through AI visuals

   Lab : Data Analysis in Power BI Desktop

   • Create animated scatter charts
   • Use the visual to forecast values
   • Work with Decomposition Tree visual
   • Work with the Key Influencers visual

   After completing this module, students will be able to:

   • Explore statistical summary
   • Use the Analyze feature
   • Identify outliers in data
   • Conduct time-series analysis
   • Use the AI visuals
   • Use the Advanced Analytics custom visual

    

   Module 11: Manage Datasets in Power BI

   In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.

   Lessons

   • Parameters
   • Datasets
   • Security in Power BI

   After completing this module, students will be able to:

   • Create and work with parameters
   • Manage datasets
   • Configure dataset refresh
   • Troubleshoot gateway connectivity
   • Understand the aspects of Power BI security
   • Configure row-level security roles and group memberships

    

   Module 12: 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.

   Lessons

   • Creating Workspaces
   • Sharing and Managing Assets

   Lab : Publishing and Sharing Power BI Content

   • Map security principals to dataset roles
   • Share a dashboard
   • Publish an App

   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