Course Outline

Introduction

  • Overview of Power BI and its role in data analysis for government operations.
  • Understanding the integration of Power BI with SAP and AI tools to enhance data insights.
  • Key benefits of using Power BI for business intelligence in public sector organizations.
  • Exploring real-world use cases and applications for government agencies.

Data Analysis Fundamentals for Decision-Making

  • Introduction to data analysis principles relevant to public sector operations.
  • Identifying relevant business data for government decision-making.
  • Data interpretation and analytics techniques for effective governance.
  • Applying data analysis for problem-solving in public sector contexts.
  • Building data-driven arguments to support policy and operational decisions.

Installing and Configuring Power BI

  • Downloading and installing Power BI Desktop for government use.
  • Setting up Power BI Service and understanding licensing options for government agencies.
  • Configuring initial workspace and user settings to align with agency requirements.
  • Connecting Power BI to cloud and on-premise data sources for seamless integration.

Data Connection and Import

  • Connecting to common data sources such as Excel, SQL, and web databases for government use.
  • Connecting Power BI to SAP Business One for enhanced data management in public sector operations.
  • Importing data into Power BI to support comprehensive analysis.
  • Using Power Query for data cleaning and transformation to ensure accuracy and reliability.

Data Modeling in Power BI

  • Fundamental data modeling concepts for effective government reporting.
  • Creating and managing relationships between tables to enhance data coherence.
  • Adding measures to Power BI models to provide actionable insights.
  • Creating calculated columns and tables to refine data analysis.
  • Introduction to DAX (Data Analysis Expressions) for advanced data manipulation.
  • Writing DAX formulas in Power BI using AI tools like ChatGPT/Copilot to streamline processes.
  • Leveraging AI to create efficient data models, enhancing the accuracy and speed of analysis.

Creating Visualizations and Dashboards

  • Types of visualizations available in Power BI for government reporting.
  • Creating charts, tables, and interactive reports to support decision-making.
  • Applying report filters in Power BI to tailor data presentation.
  • Using AI tools like Copilot for efficient dashboard creation, ensuring timely and accurate information delivery.
  • Customizing visualizations and dashboard layouts to meet specific agency needs.
  • Best practices for data storytelling to communicate insights effectively.

Publishing and Sharing Dashboards

  • Publishing reports to Power BI Service to facilitate collaboration among government teams.
  • Exporting dashboards to different formats and enabling web sharing for broader access and transparency.

Best Practices and Optimization

  • Optimizing data models and visualizations to improve performance in government applications.
  • Solving common performance issues to ensure reliable and timely data delivery.
  • Updating and maintaining reports to keep information current and relevant.
  • Managing workspaces and semantic models in Power BI to support ongoing operations.
  • Exam preparation tips for the "Microsoft Certified: Power BI Data Analyst Associate" certification, tailored for government professionals.

Summary and Next Steps

Requirements

  • Fundamental knowledge of business intelligence principles
  • Expertise in Microsoft Excel
  • Awareness of database and table configurations

Audience

  • Business intelligence professionals aiming to integrate Power BI and SAP for government use
  • Data analysts interested in augmenting reporting capabilities with AI-driven insights
  • Decision-makers focused on optimizing data-driven strategies within their organizations
 21 Hours

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