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 Duration 30 hours

Course Outline

Foundations of Data Management

  • Overview of data handling and storage mechanisms
  • Essentials of databases and table creation
  • Introduction to relational data models

Core Data Analysis Techniques

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

Data Modeling for Strategic Decisions

  • Concepts in data modeling
  • Building calendar tables and hierarchies
  • Establishing field relationships and table joins

Advanced Reporting Tools

  • Leveraging Excel, Power Query, and DAX
  • Constructing dashboards in Excel
  • Data sourcing and editing with Power Pivot

Applied Statistical Methods

  • Basics of regression and classification
  • Developing and interpreting prediction models
  • Practical data analysis scenarios

Foundations of Data Science

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

Implementing Data-Driven Decisions

  • Evaluating reports for strategic insight
  • Effectively communicating analytical results
  • Case studies and real-world applications

Course Summary and Future Directions

Requirements

  • A solid grasp of fundamental computer operations
  • Hands-on experience with spreadsheets and common data formats
  • Proficiency with Microsoft Office tools

Target Audience

  • Environmental protection managers
  • Data engineers and analysts
  • Professionals looking to adopt data-driven decision-making methodologies

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