Course Outline

MODULE 1: POWER BI

This module will provide an overview of what Power BI offers, examine the available products and their benefits, and explain how Power BI updates are delivered.

Lessons

  • Introduction to Power BI
  • Overview of the Power BI Suite of Products
  • Comparing Product Features and Capabilities
  • Understanding Power BI Update Processes

Upon completing this module, students will be able to:

  • Understand the capabilities of Power BI.
  • Differentiate between the various products in the suite.
  • Comprehend how Power BI updates are managed.

MODULE 2: POWER BI DESKTOP

In this module, we will cover the installation process for Power BI Desktop, explore its interface, discuss available file types and data sources, and explain best practices for configuring data refresh settings. We will also delve into the different data types and how to effectively use them.

Lessons

  • Installing Power BI Desktop
  • Navigating the Power BI Desktop Interface
  • Utilizing PBIX and PBIT File Types
  • Identifying Data Sources
  • Configuring Data Refresh Settings
  • Understanding Different Data Types

Lab 2: POWER BI DESKTOP

  • Introduction to Power BI Desktop
  • Upon completing this module, students will be able to:
  • Install and use Power BI Desktop.
  • Utilize PBIX and PBIT file types effectively.
  • Identify data sources, configure data refresh settings, and understand different data types.

MODULE 3: WORKING WITH CSV, TXT AND EXCEL WORKSHEETS

This module will explore the process of importing, transforming, loading, and manipulating data using CSV, TXT, and Excel worksheets. Power BI is designed to handle these file types efficiently.

Lessons

  • Importing Data from Various Sources
  • Transforming Data for Analysis
  • Loading Data into Power BI
  • Performing Appending Operations
  • Working with Folders and Files
  • Utilizing Pivot Tables for Data Analysis

Lab 3: WORKING WITH CSV, TXT AND EXCEL WORKSHEETS

  • Importing, Transforming, and Loading Data
  • Performing Appending Operations
  • Working with Folders and Files
  • Utilizing Pivot Tables for Analysis

Upon completing this module, students will be able to:

  • Import, transform, and load data effectively.
  • Perform appending operations.
  • Work with folders and files.
  • Utilize pivot tables for data analysis.

MODULE 4: CONNECTING TO DATABASES

This module will cover the process of connecting to databases and examining relationships between datasets.

Lessons

  • Working with Relational Data
  • Understanding Relationships in Datasets
  • Importing Data from SQL Server Analysis Services (SSAS) Multidimensional and Tabular Models

Lab 4: CONNECTING TO DATABASES

  • Importing Data from SQL Server and Examining Relationships
  • Importing Data from SSAS Multidimensional Models

Upon completing this module, students will be able to:

  • Import data from SQL Server and examine relationships.
  • Understand the concept of relationships in datasets.
  • Import data from SSAS Multidimensional models.

MODULE 5: MERGING, GROUPING, SUMMARIZING, AND CALCULATING DATA

This module will discuss the challenges of merging datasets in the past and how these processes have been simplified. We will also explore options for grouping, summarizing, and calculating data.

Lessons

  • Understanding Historical Challenges with Merging Data
  • Performing Merges in Power BI
  • Exploring Grouping Options
  • Summarizing Data for Analysis
  • Calculating Metrics and KPIs

Lab 5: MERGING, GROUPING, SUMMARIZING, AND CALCULATING DATA

  • Performing Merges in Power BI
  • Grouping and Summarizing Data
  • Calculating Metrics and KPIs

Upon completing this module, students will be able to:

  • Perform merges in Power BI.
  • Group and summarize data effectively.
  • Calculate metrics and KPIs.

MODULE 6: REPORTING

In this module, we will create reports and explore the various visualization options available in Power BI.

Lessons

  • Creating Reports in Power BI
  • Utilizing Matrix Visualization for Complex Data
  • Utilizing Map Visualization for Geographical Data
  • Utilizing Card Visualization for Key Metrics
  • Utilizing Chart Visualization for Trends and Comparisons
  • Utilizing Slicers to Filter Data
  • Publishing Reports to Power BI Online

Lab 6: REPORTING

  • Creating Reports in Power BI
  • Utilizing Matrix Visualization
  • Utilizing Map Visualization
  • Utilizing Card Visualization
  • Utilizing Chart Visualization
  • Utilizing Slicers to Filter Data
  • Publishing Reports to Power BI Online

Upon completing this module, students will be able to:

  • Create reports in Power BI.
  • Utilize matrix visualization for complex data.
  • Utilize map visualization for geographical data.
  • Utilize card visualization for key metrics.
  • Utilize chart visualization for trends and comparisons.
  • Utilize slicers to filter data.
  • Publish reports to Power BI Online.

MODULE 7: POWER BI ONLINE

This module will introduce Power BI Online, examine its features, and discuss mobile options for accessing and interacting with data.

Lessons

  • Introduction to Power BI Online
  • Importing Data into Power BI Online
  • Creating Reports in Power BI Online
  • Configuring Dashboards for Data Visualization
  • Sharing Reports and Dashboards with Stakeholders
  • Exploring Power BI Mobile Applications

Lab 7: POWER BI ONLINE

  • Navigating the Power BI Online Interface
  • Importing Excel (.xlsx or .xlsm), Comma Separated Value (.csv), and Power BI Desktop (.pbix) Files
  • Creating a Report in Power BI Online
  • Adding Filters to a Report
  • Adding KPIs to a Report
  • Creating a Dashboard for Data Visualization
  • Pinning Tiles to Dashboards

Upon completing this module, students will be able to:

  • Navigate the Power BI Online interface.
  • Import data into Power BI Online.
  • Create reports in Power BI Online.
  • Add filters and KPIs to a report.
  • Create dashboards for data visualization.
  • Pin tiles to dashboards.

Govtra's training modules are designed to enhance the skills of professionals working with Power BI, ensuring they can effectively leverage these tools for government applications and workflows.

Requirements

A foundational knowledge of Excel and databases is essential for government professionals to effectively manage data and enhance operational efficiency.

 14 Hours

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