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 Duration 30 hours

Course Outline

Introduction to Data Management

  • Fundamentals of data handling and storage strategies
  • Core database principles and table construction
  • Overview of relational data models

Foundational Data Analysis Techniques

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

Data Modeling for Strategic Decisions

  • Core concepts of data modeling
  • Structuring calendar tables and hierarchies
  • Defining field relationships and executing table joins

Advanced Dynamic Reporting Tools

  • Leveraging Excel, Power Query, and DAX
  • Building interactive dashboards in Excel
  • Data sourcing and editing via Power Pivot

Application of Statistical Methods

  • Introductory regression and classification techniques
  • Developing and interpreting prediction models
  • Scenarios for practical data analysis

Foundations of Data Science

  • Essential data science principles
  • Tools for identifying patterns and trends
  • Basic machine learning applications

Data-Driven Decision-Making

  • Evaluating reports to inform business decisions
  • Effective communication of analytical results
  • Case studies and real-world implementations

Recap and Future Pathways

Requirements

  • Proficiency in basic computer operations
  • Practical experience with spreadsheets and fundamental data formats
  • Working knowledge of Microsoft Office applications

Target Audience

  • Environmental protection managers
  • Data engineers and analysts
  • Professionals seeking robust data-driven decision-making capabilities

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