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 Duration 30 hours

Course Outline

Introduction to Data Management

  • Overview of data handling and storage mechanisms
  • Database fundamentals and table construction
  • Introduction to relational data models

Basic Data Analysis Techniques

  • Descriptive statistics and data distributions
  • Utilizing histograms and control charts
  • Data stratification and processing methods

Data Modeling for Decision-Making

  • Introduction to core data modeling concepts
  • Calendar tables and hierarchical structures
  • Field relationships and table joins

Dynamic Reporting Tools

  • Leveraging Excel, Power Query, and DAX
  • Building dashboards within Excel
  • Editing and sourcing data using Power Pivot

Applied Statistical Techniques

  • Foundations of regression and classification
  • Prediction models and their interpretation
  • Practical data analysis scenarios

Introduction to Data Science Concepts

  • Core data science principles
  • Tools for detecting patterns and trends
  • Simple machine learning techniques

Data-Driven Decision-Making

  • Evaluating reports for strategic decisions
  • Effective communication of results
  • Case studies and real-world applications

Summary and Next Steps

Requirements

  • A solid grasp of fundamental computer operations
  • Practical experience with spreadsheets and basic data formats
  • Proficiency with Microsoft Office tools

Target Audience

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

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