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Course Outline
Introduction to Data Management
- Overview of data handling and storage mechanisms
- Database fundamentals and creating tables
- Introduction to relational models
Basic Data Analysis Techniques
- Descriptive statistics and data distributions
- Creating histograms and control charts
- Data stratification and processing workflows
Data Modeling for Decision-Making
- Introduction to data modeling principles
- Managing calendar tables and hierarchies
- Defining field relationships and table joins
Dynamic Reporting Tools
- Leveraging Excel, Power Query, and DAX
- Building interactive dashboards in Excel
- Data sourcing and editing via Power Pivot
Applied Statistical Techniques
- Fundamentals of regression and classification
- Interpreting prediction models
- Practical scenarios for data analysis
Introduction to Data Science Concepts
- Core principles of data science
- Tools for detecting patterns and trends
- Introduction to simple machine learning techniques
Data-Driven Decision-Making
- Evaluating reports to support strategic choices
- Effectively communicating analytical results
- Exploring case studies and real-world applications
Summary and Future Directions
Requirements
- Familiarity with fundamental computer operations
- Working knowledge of spreadsheets and basic data structures
- 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
