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Course Outline

Overview of Data Management Systems

  • Principles of data acquisition, retention, and secure storage
  • Fundamentals of database architecture and structured table development
  • Core concepts of relational data models

Foundational Analytical Methods

  • Descriptive statistical measures and distribution analysis
  • Utilization of histograms and statistical control charts
  • Data segmentation and systematic processing workflows

Analytical Frameworks for Strategic Planning

  • Introduction to conceptual data modeling
  • Implementation of temporal tables and hierarchical structures
  • Definition of entity relationships and relational joins

Dynamic Reporting Solutions

  • Leveraging Microsoft Excel, Power Query, and DAX for analysis
  • Construction of interactive executive dashboards in Excel
  • Data sourcing and transformation using Power Pivot

Applied Statistical Methodologies

  • Fundamental regression and classification techniques
  • Development and interpretation of predictive models
  • Application of data analysis to operational challenges

Data Science Principles

  • Core components of the data science lifecycle
  • Techniques for identifying patterns and forecasting trends
  • Introduction to algorithmic machine learning methods

Evidence-Based Policy and Strategy

  • Assessment of analytical reports to inform governance decisions
  • Strategic communication of data insights to stakeholders
  • Analysis of case studies and public sector applications

Conclusion and Future Directions

Requirements

  • Fundamental proficiency in computer operations
  • Hands-on experience utilizing spreadsheets and standard data structures
  • Working knowledge of Microsoft Office applications

Target Audience

  • Environmental protection administrators
  • Data engineers and analytical specialists
  • Practitioners requiring robust, data-driven tools for government operations
 30 Hours

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