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 Duration 30 hours

Course Outline

Foundations of Data Administration

  • Comprehensive review of data processing and retention protocols
  • Core principles of database architecture and table construction
  • Overview of relational database frameworks

Foundational Data Analysis Methods

  • Application of descriptive statistics and distribution analysis
  • Utilization of histograms and control charts for monitoring
  • Techniques for data stratification and systematic processing

Data Modeling for Strategic Planning

  • Core concepts in data modeling frameworks
  • Integration of calendar tables and hierarchical structures
  • Definition of field relationships and table joining mechanisms

Dynamic Reporting Capabilities

  • Leveraging Excel, Power Query, and DAX for analysis
  • Construction of executive dashboards within Excel
  • Management and sourcing of data using Power Pivot

Implementation of Statistical Methods

  • Application of basic regression and classification models
  • Development and interpretation of predictive models
  • Execution of practical data analysis workflows

Introduction to Data Science Principles

  • Foundational elements of data science
  • Instruments for identifying patterns and trends
  • Application of elementary machine learning techniques

Evidence-Based Decision Making

  • Assessment of reports to support governance choices
  • Effective communication of analytical findings
  • Review of case studies and operational applications

Conclusions and Future Directions

Requirements

  • Competency in fundamental computer operations
  • Proficiency with spreadsheets and standard data formats
  • Familiarity with the Microsoft Office suite

Target Audience

  • Environmental protection program managers
  • Data engineers and analysts
  • Professionals seeking robust tools for data-driven decision-making for government

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