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Course Outline
Overview of Data Management Systems
- Principles of data acquisition, retention, and secure storage
- Fundamentals of database architecture and structured table development
- Core concepts of relational data models
Foundational Analytical Methods
- Descriptive statistical measures and distribution analysis
- Utilization of histograms and statistical control charts
- Data segmentation and systematic processing workflows
Analytical Frameworks for Strategic Planning
- Introduction to conceptual data modeling
- Implementation of temporal tables and hierarchical structures
- Definition of entity relationships and relational joins
Dynamic Reporting Solutions
- Leveraging Microsoft Excel, Power Query, and DAX for analysis
- Construction of interactive executive dashboards in Excel
- Data sourcing and transformation using Power Pivot
Applied Statistical Methodologies
- Fundamental regression and classification techniques
- Development and interpretation of predictive models
- Application of data analysis to operational challenges
Data Science Principles
- Core components of the data science lifecycle
- Techniques for identifying patterns and forecasting trends
- Introduction to algorithmic machine learning methods
Evidence-Based Policy and Strategy
- Assessment of analytical reports to inform governance decisions
- Strategic communication of data insights to stakeholders
- Analysis of case studies and public sector applications
Conclusion and Future Directions
Requirements
- Fundamental proficiency in computer operations
- Hands-on experience utilizing spreadsheets and standard data structures
- Working knowledge of Microsoft Office applications
Target Audience
- Environmental protection administrators
- Data engineers and analytical specialists
- Practitioners requiring robust, data-driven tools for government operations
30 Hours
Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
The content is very helpful, and the trainer makes it more easier to understand