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Duration 30 hours
Course Outline
Foundations of Data Management
- Overview of data processing and storage strategies
- Essential database concepts and table construction
- Overview of relational data models
Core Data Analysis Methods
- Descriptive statistics and probability distributions
- Utilizing histograms and control charts
- Data segmentation and processing workflows
Data Modeling for Strategic Insights
- Key concepts in data modeling
- Setting up calendar tables and hierarchies
- Defining field relationships and table joins
Advanced Reporting Tools
- Integrating Excel, Power Query, and DAX
- Designing interactive dashboards in Excel
- Data sourcing and manipulation via Power Pivot
Practical Statistical Applications
- Fundamentals of regression and classification
- Building and interpreting prediction models
- Real-world data analysis case studies
Introduction to Data Science
- Core principles of data science
- Tools for identifying patterns and trends
- Basic machine learning methodologies
Strategic Decision-Making
- Assessing reports to drive decisions
- Effectively communicating analytical results
- Case studies and practical applications
Recap and Future Directions
Requirements
- A solid grasp of fundamental computer operations
- Practical experience with spreadsheets and common data formats
- Comfort with Microsoft Office suite tools
Target Audience
- Environmental management professionals
- Data engineers and analysts
- Experts seeking to adopt data-driven decision-making methodologies
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
