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Course Outline
Introduction to Data Management
- Overview of data handling and storage practices
- Database fundamentals and creating tables
- Understanding relational data models
Foundations of Data Analysis
- Descriptive statistics and probability distributions
- Interpreting histograms and control charts
- Data stratification and processing workflows
Data Modeling for Strategic Insights
- Core concepts in data modeling
- Creating calendar tables and organizational hierarchies
- Establishing field relationships and table joins
Dynamic Reporting and Visualization
- Leveraging Excel, Power Query, and DAX
- Designing interactive dashboards in Excel
- Data sourcing and editing with Power Pivot
Applied Statistical Methods
- Foundations of regression and classification
- Building and interpreting prediction models
- Real-world data analysis scenarios
Basics of Data Science
- Essential data science principles
- Utilizing tools for pattern and trend detection
- Introducing simple machine learning techniques
Executing Data-Driven Decisions
- Assessing reports for strategic action
- Effectively communicating analytical results
- Case studies and practical applications
Summary and Future Directions
Requirements
- A solid understanding of basic computer operations
- Practical experience with spreadsheets and standard data formats
- Familiarity with Microsoft Office tools
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
