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Duration 30 hours
Course Outline
Foundations of Data Management
- Overview of data processing and storage mechanisms
- Essentials of database architecture and table structure
- Introduction to relational database models
Foundational Data Analysis Methods
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Data stratification and processing workflows
Data Modeling for Strategic Decisions
- Core concepts in data modeling
- Building calendar tables and hierarchical structures
- Managing field relationships and table joins
Dynamic Reporting Capabilities
- Application of Excel, Power Query, and DAX
- Designing interactive dashboards in Excel
- Data editing and sourcing via Power Pivot
Practical Statistical Applications
- Fundamentals of regression and classification
- Development and interpretation of predictive models
- Real-world data analysis scenarios
Foundations of Data Science
- Core principles of data science
- Tools for identifying patterns and trends
- Introduction to simple machine learning techniques
Data-Driven Decision Frameworks
- Assessing reports for strategic insights
- Effective communication of analytical results
- Case studies and real-world implementation
Conclusion and Future Directions
Requirements
- 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
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
