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Course Outline

Introduction to Data Management

  • Overview of data handling and storage.
  • Database fundamentals and table creation.
  • Introduction to relational models.

Basic Data Analysis Techniques

  • Descriptive statistics and distributions.
  • Histograms and control charts.
  • Data stratification and processing.

Data Modeling for Decision-Making

  • Introduction to data modeling concepts.
  • Calendar tables and hierarchies.
  • Field relationships and table joins.

Dynamic Reporting Tools

  • Using Excel, Power Query, and DAX.
  • Creating dashboards in Excel.
  • Editing and sourcing data with Power Pivot.

Applied Statistical Techniques

  • Basic regression and classification.
  • Prediction models and interpretation.
  • Practical data analysis scenarios.

Introduction to Data Science Concepts

  • Data science fundamentals.
  • Tools for pattern and trend detection.
  • Simple machine learning techniques.

Data-Driven Decision-Making

  • Evaluating reports for decision support.
  • Communicating results effectively.
  • Case studies and real-world applications.

Summary and Next Steps

Requirements

  • Understanding of basic computer operations.
  • Experience with spreadsheets and basic data formats.
  • Familiarity with Microsoft Office tools.

Audience

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

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