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Course Outline
Introduction to Data Management
- Fundamentals of data handling and storage
- Core database concepts and table construction
- Foundations of relational models
Essential Data Analysis Techniques
- Descriptive statistics and probability distributions
- Use of histograms and control charts
- Data stratification and processing workflows
Data Modeling for Informed Decisions
- Overview of data modeling principles
- Managing calendar tables and hierarchical structures
- Defining field relationships and executing table joins
Dynamic Reporting Capabilities
- Utilizing Excel, Power Query, and DAX
- Designing interactive dashboards in Excel
- Data editing and sourcing via Power Pivot
Practical Statistical Applications
- Foundations of regression and classification analysis
- Developing and interpreting prediction models
- Scenario-based data analysis exercises
Foundations of Data Science
- Core concepts in data science
- Instruments for detecting patterns and trends
- Elementary machine learning methods
Data-Driven Strategic Decisions
- Assessing reports for operational decisions
- Effectively communicating analytical results
- Examining case studies and real-world implementations
Wrap-Up and Future Directions
Requirements
- Familiarity with 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 adopt data-driven decision-making tools
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
