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Course Outline
Foundations of Data Management
- Overview of data handling and storage principles
- Essentials of databases and table construction
- Introduction to relational data models
Core Data Analysis Techniques
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Methods for data stratification and processing
Data Modeling for Strategic Decisions
- Introduction to key data modeling concepts
- Structuring calendar tables and data hierarchies
- Establishing field relationships and table joins
Dynamic Reporting Capabilities
- Leveraging Excel, Power Query, and DAX
- Designing interactive dashboards in Excel
- Refining and sourcing data via Power Pivot
Practical Statistical Applications
- Foundations of regression and classification analysis
- Building and interpreting prediction models
- Real-world data analysis scenarios
Introduction to Data Science Principles
- Fundamentals of data science
- Tools for identifying patterns and trends
- Application of simple machine learning techniques
Enhancing Decision-Making Through Data
- Assessing reports to support strategic choices
- Effectively communicating analytical results
- Exploration of case studies and industry applications
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental computer operations
- Practical experience with spreadsheets and standard data formats
- Proficiency with Microsoft Office suite tools
Intended Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals looking to adopt data-driven decision-making frameworks
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
