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Duration 30 hours
Course Outline
Introduction to Data Management
- Overview of data handling and storage mechanisms
- Database fundamentals and table construction
- Introduction to relational data models
Basic Data Analysis Techniques
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Data stratification and processing methods
Data Modeling for Decision-Making
- Introduction to core data modeling concepts
- Calendar tables and hierarchical structures
- Field relationships and table joins
Dynamic Reporting Tools
- Leveraging Excel, Power Query, and DAX
- Building dashboards within Excel
- Editing and sourcing data using Power Pivot
Applied Statistical Techniques
- Foundations of regression and classification
- Prediction models and their interpretation
- Practical data analysis scenarios
Introduction to Data Science Concepts
- Core data science principles
- Tools for detecting patterns and trends
- Simple machine learning techniques
Data-Driven Decision-Making
- Evaluating reports for strategic decisions
- Effective communication of results
- Case studies and real-world applications
Summary and Next Steps
Requirements
- A solid grasp of fundamental computer operations
- Practical experience with spreadsheets and basic data formats
- Proficiency with Microsoft Office tools
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals seeking 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