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Course Outline
Foundations of Data Management
- Overview of data handling and storage principles
- Core database concepts and table construction
- Introduction to relational data models
Essential Data Analysis Methods
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Data stratification and processing techniques
Data Modeling for Strategic Decisions
- Introduction to data modeling frameworks
- Managing calendar tables and hierarchical structures
- Defining field relationships and executing table joins
Dynamic Reporting Solutions
- Applying 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
- Building and interpreting prediction models
- Real-world data analysis scenarios
Introductory Data Science Principles
- Core concepts of data science
- Tools for identifying patterns and trends
- Basic machine learning methodologies
Strategic Data-Driven Decision Making
- Assessing reports to drive decisions
- Effectively communicating analytical results
- Case studies and real-world implementation examples
Recap and Future Directions
Requirements
- Fundamental knowledge of computer operations
- Practical experience with spreadsheets and standard data formats
- Working familiarity with the Microsoft Office suite
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
