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Duration 30 hours
Course Outline
Foundations of Data Management
- Overview of data handling and storage mechanisms
- Core database concepts and table construction
- Introduction to relational data models
Essential Data Analysis Methods
- Descriptive statistics and data distributions
- Histograms and control charts
- Data stratification and processing workflows
Data Modeling for Strategic Decisions
- Fundamentals of data modeling concepts
- Calendar tables and hierarchical structures
- Defining field relationships and joining tables
Advanced Reporting Tools
- Leveraging Excel, Power Query, and DAX
- Building interactive dashboards in Excel
- Data sourcing and editing via Power Pivot
Practical Statistical Applications
- Basic regression and classification techniques
- Building and interpreting prediction models
- Real-world data analysis scenarios
Overview of Data Science Principles
- Core data science fundamentals
- Tools for identifying patterns and trends
- Introduction to simple machine learning techniques
Implementing Data-Driven Decisions
- Evaluating reports to inform strategic choices
- Effectively communicating analytical results
- Case studies and practical applications
Conclusion and Future Directions
Requirements
- Knowledge of fundamental computer operations
- Hands-on experience with spreadsheets and standard data formats
- Proficiency with Microsoft Office applications
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals aiming to utilize 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
