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Duration 30 hours
Course Outline
Foundations of Data Management
- Overview of data processing and storage mechanisms
- Core database concepts and table construction
- Introduction to relational database models
Core Data Analysis Methods
- Descriptive statistics and data distributions
- Utilization of histograms and control charts
- Data stratification and processing workflows
Data Modeling for Strategic Insights
- Introduction to data modeling principles
- Management of calendar tables and hierarchies
- Establishing field relationships and table joins
Dynamic Reporting and Visualization
- Leveraging Excel, Power Query, and DAX
- Designing interactive dashboards in Excel
- Data editing and sourcing using Power Pivot
Practical Statistical Applications
- Foundations of regression and classification
- Predictive modeling and result interpretation
- Practical scenarios for data analysis
Introduction to Data Science Principles
- Core concepts in data science
- Tools for identifying patterns and trends
- Basic machine learning techniques
Driving Decisions with Data
- Assessing reports for strategic decision-making
- Effectively communicating analytical results
- Case studies and real-world implementation examples
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental computer operations
- Practical experience with spreadsheets and standard data formats
- Proficiency with Microsoft Office applications
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals aiming to acquire tools for data-driven decision-making
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
