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 Duration 30 hours

Course Outline

Foundations of Data Management

  • Overview of data handling and storage
  • 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

  • Core concepts in data modeling
  • Setting up calendar tables and hierarchies
  • Managing field relationships and table joins

Dynamic Reporting Capabilities

  • Leveraging Excel, Power Query, and DAX
  • Building interactive dashboards in Excel
  • Editing and sourcing data via Power Pivot

Practical Statistical Applications

  • Foundations of regression and classification
  • Building and interpreting prediction models
  • Real-world data analysis scenarios

Introductory Data Science Concepts

  • Key fundamentals of data science
  • Tools for detecting patterns and trends
  • Basic machine learning techniques

Strategic Decision-Making Through Data

  • Evaluating reports to drive decisions
  • Communicating findings clearly and effectively
  • Case studies and real-world implementations

Summary and Future Pathways

Requirements

  • Proficiency in basic computer operations
  • Hands-on experience with spreadsheets and common data formats
  • Familiarity with the Microsoft Office suite

Target Audience

  • Managers in environmental protection
  • Data engineers and analysts
  • Professionals seeking tools for data-driven decision-making

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