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Course Outline
Introduction to Data Management
- Overview of data handling and storage
- Database fundamentals and table creation
- Introduction to relational models
Basic Data Analysis Techniques
- Descriptive statistics and distributions
- Histograms and control charts
- Data stratification and processing
Data Modeling for Decision-Making
- Introduction to data modeling concepts
- Calendar tables and hierarchies
- Field relationships and table joins
Dynamic Reporting Tools
- Utilizing Excel, Power Query, and DAX
- Creating dashboards in Excel
- Editing and sourcing data with Power Pivot
Applied Statistical Techniques
- Basic regression and classification
- Prediction models and interpretation
- Practical data analysis scenarios
Introduction to Data Science Concepts
- Data science fundamentals
- Tools for pattern and trend detection
- Simple machine learning techniques
Data-Driven Decision-Making
- Evaluating reports for decision-making
- Communicating results effectively
- Case studies and real-world applications
Summary and Next Steps
Requirements
- Familiarity with basic computer operations
- Experience with spreadsheets and fundamental data formats
- Knowledge of Microsoft Office tools
Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals seeking tools for data-driven decision-making
30 Hours
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
