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 Duration 30 hours

Course Outline

Foundations of Data Management

  • Broad view of data handling and storage mechanisms
  • Core database principles and the creation of tables
  • Overview of relational data models

Core Data Analysis Methods

  • Descriptive statistics and data distributions
  • Application of histograms and control charts
  • Data stratification and preprocessing workflows

Data Modeling for Strategic Insights

  • Overview of key data modeling principles
  • Structuring calendar tables and hierarchical data
  • Defining field relationships and table joins

Advanced Reporting Instrumentation

  • Leveraging Excel, Power Query, and DAX
  • Designing interactive dashboards within Excel
  • Data sourcing and manipulation using Power Pivot

Practical Statistical Applications

  • Fundamentals of regression and classification
  • Constructing and interpreting predictive models
  • Applying data analysis to practical scenarios

Introductory Data Science Principles

  • Essential concepts in data science
  • Instrumentation for identifying patterns and trends
  • Foundational machine learning methodologies

Strategic Decision Support

  • Assessing reports to inform business decisions
  • Effectively communicating analytical outcomes
  • Reviewing case studies and real-world implementations

Recap and Future Directions

Requirements

  • A foundational grasp of basic computer functions
  • Practical experience with spreadsheets and standard data formats
  • Affinity with Microsoft Office utilities

Intended Learners

  • Managers in environmental protection sectors
  • Data engineers and analytical specialists
  • Professionals looking to adopt data-driven decision-making tools

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