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Duration 30 hours
Course Outline
Foundations of Data Administration
- Comprehensive review of data processing and retention protocols
- Core principles of database architecture and table construction
- Overview of relational database frameworks
Foundational Data Analysis Methods
- Application of descriptive statistics and distribution analysis
- Utilization of histograms and control charts for monitoring
- Techniques for data stratification and systematic processing
Data Modeling for Strategic Planning
- Core concepts in data modeling frameworks
- Integration of calendar tables and hierarchical structures
- Definition of field relationships and table joining mechanisms
Dynamic Reporting Capabilities
- Leveraging Excel, Power Query, and DAX for analysis
- Construction of executive dashboards within Excel
- Management and sourcing of data using Power Pivot
Implementation of Statistical Methods
- Application of basic regression and classification models
- Development and interpretation of predictive models
- Execution of practical data analysis workflows
Introduction to Data Science Principles
- Foundational elements of data science
- Instruments for identifying patterns and trends
- Application of elementary machine learning techniques
Evidence-Based Decision Making
- Assessment of reports to support governance choices
- Effective communication of analytical findings
- Review of case studies and operational applications
Conclusions and Future Directions
Requirements
- Competency in fundamental computer operations
- Proficiency with spreadsheets and standard data formats
- Familiarity with the Microsoft Office suite
Target Audience
- Environmental protection program managers
- Data engineers and analysts
- Professionals seeking robust tools for data-driven decision-making for government
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