Course Outline

Introduction

  • Overview of Power BI features and architecture for government
  • Advanced tools and data analysis capabilities in Power BI for government

Getting Started

  • Installing Power BI and other necessary components for government use
  • Workflow for preparing reports and dashboards for government operations
  • Overview of the user interface for efficient data management in government

Power Query – Importing the Data

  • Types of connectors available for government data sources
  • Query folding to optimize performance for government datasets
  • Extracting data from various sources:
    1. Flat files for streamlined data ingestion
    2. Whole folders of data for comprehensive analysis
    3. Websites and web services for real-time data integration
    4. Working with unstructured files to enhance data usability
  • Advanced techniques in Power Query:
    1. Merging and appending tables for consolidated views
    2. Pivoting and Un-Pivoting data for flexible reporting
    3. Automated columns from examples for efficient data transformation
    4. Working with inconsistent tables to ensure data integrity
    5. Tables decomposition for detailed analysis
    6. Best practices in analyzing text data for government reports
    7. Basics of M language for advanced data manipulation

Data Model – Why Do You Need One?

  • Definition and importance of a data model for government operations
  • Data model normalization to enhance data accuracy and efficiency
  • Two main types of tables in a data model for government use
  • Relationship cardinality:
    1. One-to-many relationships for hierarchical data structures
    2. One-to-one relationships for unique data associations
    3. Many-to-many relationships for complex data interactions
  • Filter flow – the logic behind the data engine for government applications
  • Creating hierarchies to organize and present data effectively
  • Data modeling best practices for government reporting

DAX – The Best Tool to Make Your Data Useful

  • Introduction to DAX and its significance in government data analysis
  • Difference between measures and calculated columns, and when to use each for government reports
  • Understanding filter context versus row context in DAX for accurate data calculations
  • Creating a measure table for enhanced report functionality
  • Variables in measures:
    1. How to create variables in DAX for dynamic calculations
    2. Benefits of using variables for efficient and readable code
    3. Handling errors and debugging with variables for robust data analysis
  • Scalar functions:
    1. Basic aggregation functions for summarizing government data
    2. Iterator functions for complex calculations in DAX
    3. The SWITCH function for improved conditional logic over IF statements
    4. Using the COALESCE function to handle null values effectively
  • Advanced CALCULATE use:
    1. Modifiers for flexible data manipulation in government reports
    2. REMOVEFILTERS and KEEPSFILTERS functions with practical examples
    3. Understanding patterns in DAX for consistent data analysis
  • Table and filter functions:
    1. Common table functions for managing government datasets
    2. Differences and usage examples of VALUES and DISTINCT functions
    3. Incorporating SELECTEDVALUE to enhance report interactivity
    4. The ALLEXCEPT function for precise data filtering
    5. The ALLSELECTED function for dynamic data analysis
    6. Why SUMMARIZE is essential for generating insightful reports in government
    7. Different methods for generating new data to enrich government reports
  • Table joins:
    1. CROSSJOIN tables for comprehensive data integration
    2. EXCEPT and INTERSECT functions with practical examples
    3. The UNION function for combining datasets efficiently
  • Relationships functions:
    1. Differences between physical and virtual relationships in government data models
    2. Using RELATED and RELATEDTABLE functions for related data retrieval
    3. Applying USERELATIONSHIPS to specify active relationships dynamically
  • Advanced concepts of time intelligence for government reporting
  • Preparing fiscal and non-standard calendars for specialized government models

Advanced Visualization Techniques:

  • Creating custom color palettes to enhance the visual appeal of government reports
  • Building consistent themes for all government reports for uniformity
  • Designing effective slicer panels for user-friendly data exploration in government dashboards
  • Creating compelling graphs that accurately represent government data
  • Distinguishing between good, bad, and misleading visualizations in government reporting
  • A simple guide to making government reports visually appealing and informative
  • Implementing interactive scenario analysis for user engagement in government reports
  • Using forecast and trend lines to improve data recognition in government analytics
  • Enabling drilling up and drilling down for detailed data exploration in government dashboards
  • The importance of parameters for dynamic and flexible government reporting
  • Utilizing bookmarks to enhance the interactive capabilities of government visualizations

Requirements

  • An understanding of Power BI for government use
  • Practical experience with Power BI in a governmental context
 14 Hours

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