Course Outline

Introduction to Data Analysis Tools for Government

  • Overview of Python, R, Power Query, and Power BI
  • Applications of data analysis across government sectors
  • Setting up the tools and environment for government use

Data Cleaning and Preparation for Government

  • Using Python libraries (Pandas) for data cleaning in a government context
  • Data cleaning and transformation with Power Query to meet public sector standards
  • Handling missing data and inconsistencies to ensure data integrity for government operations

Statistical Analysis with R for Government

  • Basic statistical functions and data manipulation in R tailored for government datasets
  • Exploratory data analysis to support evidence-based decision-making in the public sector
  • Building and interpreting statistical models to inform policy and operations

Data Integration and Transformation for Government

  • Combining data from multiple sources with Power Query to enhance government workflows
  • Integrating Python and R workflows with Power BI to support comprehensive data analysis for government
  • Ensuring data consistency and quality to meet governance and accountability standards

Visualizing Data with Power BI for Government

  • Creating dynamic dashboards and visualizations to communicate insights effectively within the public sector
  • Using Power BI to identify trends and insights that inform government strategies and initiatives
  • Sharing and publishing reports to facilitate collaboration and transparency in government operations

Applications and Industry Case Studies for Government

  • Real-world case studies in data analysis relevant to government agencies
  • Developing workflows for common government scenarios to improve service delivery and efficiency
  • Hands-on project to consolidate learning and apply it to government-specific challenges

Summary and Next Steps for Government

Requirements

  • Basic understanding of statistics
  • Familiarity with spreadsheets and data entry
  • No prior programming experience required

Audience

  • Business analysts for government
  • Data professionals
  • Project managers
  • Administrative staff
 21 Hours

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