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Course Outline
Fundamentals of Data Management
- Overview of data handling protocols and storage systems
- Core database principles and the creation of tables
- An introduction to relational data models
Foundational Data Analysis Methods
- Descriptive statistics and understanding distributions
- Utilising histograms and control charts
- Stratifying and processing data effectively
Data Modelling for Strategic Decisions
- Core concepts in data modelling
- Structuring calendar tables and defining hierarchies
- Managing field relationships and executing table joins
Tools for Dynamic Reporting
- Leveraging Excel, Power Query, and DAX
- Designing and building dashboards in Excel
- Data editing and sourcing via Power Pivot
Practical Statistical Applications
- Basics of regression and classification techniques
- Building and interpreting prediction models
- Addressing practical data analysis scenarios
Introduction to Data Science Principles
- Essentials of data science
- Tools for detecting patterns and trends
- Implementing simple machine learning techniques
Making Decisions Based on Data
- Evaluating reports to inform business decisions
- Effectively communicating analytical results
- Exploring case studies and real-world applications
Recap and Future Directions
Requirements
- Competence in basic computer operations
- Practical experience with spreadsheets and fundamental data formats
- Familiarity with the Microsoft Office suite
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals seeking 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
