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Course Outline

Foundations of Data Management

  • Overview of data handling and storage principles
  • Essentials of databases and table construction
  • Introduction to relational models

Core Data Analysis Methods

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

Data Modeling for Strategic Insights

  • Fundamentals of data modeling concepts
  • Managing calendar tables and hierarchical structures
  • Defining field relationships and executing table joins

Advanced Reporting Tools

  • Leveraging Excel, Power Query, and DAX
  • Building interactive dashboards in Excel
  • Data sourcing and manipulation with Power Pivot

Practical Statistical Applications

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

Intro to Data Science

  • Core principles of data science
  • Instruments for detecting patterns and trends
  • Basic machine learning techniques

Strategic Data-Driven Decisions

  • Assessing reports to inform business decisions
  • Effective communication of analytical results
  • Case studies and practical industry applications

Conclusion and Future Pathways

Requirements

  • Familiarity with fundamental computer operations
  • Proficiency in spreadsheets and basic data structures
  • Knowledge of Microsoft Office applications

Target Audience

  • Environmental protection managers
  • Data engineers and analysts
  • Professionals aiming to adopt data-driven decision-making tools
 30 Hours

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