Plan du cours

Introduction to Data Management

  • Overview of data handling and storage
  • Database fundamentals and table creation
  • Introduction to relational models

Basic Data Analysis Techniques

  • Descriptive statistics and distributions
  • Histograms and control charts
  • Data stratification and processing

Data Modeling for Decision-Making

  • Intro to data modeling concepts
  • Calendar tables and hierarchies
  • Field relationships and table joins

Dynamic Reporting Tools

  • Using Excel, Power Query and DAX
  • Creating dashboards in Excel
  • Editing and sourcing data with Power Pivot

Applied Statistical Techniques

  • Basic regression and classification
  • Prediction models and interpretation
  • Practical data analysis scenarios

Introduction to Data Science Concepts

  • Data science fundamentals
  • Tools for pattern and trend detection
  • Simple machine learning techniques

Data-Driven Decision-Making

  • Evaluating reports for decisions
  • Communicating results effectively
  • Case studies and real-world applications

Summary and Next Steps

Pré requis

  • An understanding of basic computer operations
  • Experience with spreadsheets and basic data formats
  • Familiarity with Microsoft Office tools

Audience

  • Environmental protection managers
  • Data engineers and analysts
  • Professionals seeking data-driven decision-making tools
 30 Heures

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