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Course Outline

Module 1: Acquire Data in Power BI


This module outlines procedures for retrieving data from diverse sources, including Microsoft Excel, relational databases, and NoSQL storage systems. It also addresses strategies for optimizing performance during the data acquisition process for government applications.

Learning objectives

Upon completion of this module, participants will be able to:

  • Identify and establish connections to various data sources
  • Retrieve data from relational databases, such as Microsoft SQL Server
  • Ingest data from file-based sources, including Microsoft Excel
  • Connect to external applications
  • Access data from Azure Analysis Services
  • Select appropriate storage modes for government data handling
  • Troubleshoot performance issues
  • Resolve data import errors

Lessons

  • Introduction
  • Ingest data from files
  • Ingest data from relational data sources
  • Create dynamic reports with parameters
  • Ingest data from a NoSQL database
  • Ingest data from online services
  • Select a storage mode
  • Ingest data from Azure Analysis Services
  • Fix performance issues
  • Resolve data import errors
  • Exercise - Prepare data in Power BI Desktop
  • Check your knowledge
  • Summary

Module 2: Clean, Transform, and Load Data in Power BI


This module instructs participants on simplifying complex data models, modifying data types, renaming objects, and pivoting data. Participants will also learn column profiling techniques to identify high-value data elements for advanced analytics.

Learning objectives

Upon completion of this module, participants will be able to:

  • Resolve inconsistencies, unexpected null values, and data quality issues.
  • Implement user-friendly value replacements.
  • Profile data to assess the suitability of specific columns for analysis.
  • Evaluate and transform column data types.
  • Apply structural transformations to table data.
  • Combine multiple queries.
  • Apply standardized naming conventions to columns and queries.
  • Edit M code in the Advanced Editor.
     

Lessons

  • Introduction
  • Shape the initial data
  • Simplify the data structure
  • Evaluate and change column data types
  • Combine multiple tables into a single table
  • Profile data in Power BI
  • Use Advanced Editor to modify M code
  • Exercise - Load data in Power BI Desktop
  • Check your knowledge
  • Summary

Module 3: Design a Data Model in Power BI


The creation of complex data models in Power BI requires a systematic approach. When integrating data from multiple transactional systems, users may encounter numerous tables. This module focuses on simplifying this complexity through the implementation of star schema architecture, including terminology and practical application. Participants will also examine the importance of appropriate data granularity for report performance and usability, as well techniques for enhancing overall model efficiency.

Learning objectives

Upon completion of this module, participants will be able to:

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

Lessons

  • Introduction
  • Work with tables
  • Create a date table
  • Work with dimensions
  • Define data granularity
  • Work with relationships and cardinality
  • Resolve modeling challenges
  • Exercise - Model data in Power BI Desktop
  • Check your knowledge
  • Summary

Module 4: Design Power BI Reports


With over 30 core visual types available, selecting the appropriate visualization can be challenging for beginners. This module provides guidance on selecting the optimal visual type to meet specific design standards and report layout requirements for government reporting.

Learning objectives

Upon completion of this module, participants will be able to:

  • Understand the structural components of a Power BI report.
  • Identify and utilize report objects.
  • Select appropriate visual types for specific reporting needs.
     

Lessons

  • Introduction
  • Design the analytical report layout
  • Design visually appealing reports
  • Report objects
  • Select report visuals
  • Select report visuals to suit the report layout
  • Format and configure visualizations
  • Work with key performance indicators
  • Exercise - Design a report in Power BI desktop
  • Check your knowledge
  • Summary

Module 5: Configure Power BI Report Filters


Report filtering involves multiple techniques that, when managed effectively, provide the control necessary to meet stakeholder requirements. This module distinguishes between design-time filtering and consumption-time filtering, emphasizing the importance of intuitive data navigation for report consumers.

Learning objectives

Upon completion of this module, participants will be able to:

  • Design reports with integrated filtering capabilities.
  • Implement filters using slicers.
  • Apply advanced filtering techniques.
  • Configure consumption-time filtering.
  • Select appropriate report filtering strategies for government data scenarios.

Lessons

  • Introduction to designing reports for filtering
  • Apply filters to the report structure
  • Apply filters with slicers
  • Design reports with advanced filtering techniques
  • Consumption-time filtering
  • Select report filter techniques
  • Case study - Configure report filters based on feedback
  • Check your knowledge
  • Summary

Module 6: Create Dashboards in Power BI


This module differentiates between Power BI reports and dashboards. Dashboards enable users to consolidate directed data into a personalized, unified view composed of pinned visuals from multiple sources. Unlike reports, which utilize a single dataset, dashboards can aggregate visuals from various datasets, providing a comprehensive overview for decision-makers.

Learning objectives

Upon completion of this module, participants will be able to:

  • Configure mobile views for accessibility.
  • Apply consistent themes to dashboard visuals.
  • Implement data classification protocols.
  • Incorporate real-time dataset visuals into dashboards.
  • Pin live report pages to a dashboard.
     

Lessons

  • Introduction to dashboards
  • Configure data alerts
  • Explore data by asking questions
  • Review Quick insights
  • Add a dashboard theme
  • Pin a live report page to a dashboard
  • Configure a real-time dashboard
  • Configure data classification
  • Set mobile view
  • Exercise - Create a Power BI dashboard
  • Check your knowledge
  • Summary

Requirements

No information provided for government use.

 7 Hours

Number of participants


Price per participant

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