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Duration 30 hours
Course Outline
Foundations of Data Management
- Overview of data handling and storage practices
- Core database concepts and table structure creation
- Introduction to relational data models
Essential Data Analysis Methods
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Data stratification and processing workflows
Building Models for Informed Decisions
- Core principles of data modeling
- Constructing calendar tables and hierarchical structures
- Defining field relationships and joining tables
Advanced Reporting Tools
- Utilizing Excel, Power Query, and DAX expressions
- Designing and building dashboards in Excel
- Data manipulation and sourcing via Power Pivot
Practical Statistical Applications
- Foundations of regression and classification analysis
- Developing and interpreting predictive models
- Real-world data analysis case scenarios
Foundations of Data Science
- Core concepts in data science
- Tools for identifying patterns and trends
- Introductory machine learning methodologies
Driving Decisions with Data
- Assessing reports to inform business decisions
- Effectively communicating analytical results
- Reviewing case studies and real-world applications
Conclusion and Future Directions
Requirements
- Proficiency in fundamental computer operations
- Practical experience with spreadsheets and standard data formats
- Familiarity with the Microsoft Office suite
Target Audience
- Managers in environmental protection and sustainability
- Data engineers and analysts
- Professionals seeking to adopt data-driven decision-making frameworks
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
