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Course Outline
Introduction to Data Stewardship
- Overview of data handling and storage principles
- Foundations of databases and table structuring
- Overview of relational data models
Foundational Data Analysis Methods
- Descriptive statistics and data distributions
- Interpreting histograms and control charts
- Data stratification and processing workflows
Data Modelling for Strategic Insight
- Core concepts of data modelling
- Calendar tables and hierarchical structures
- Defining field relationships and table joins
Dynamic Reporting Capabilities
- Utilising Excel, Power Query, and DAX
- Building interactive dashboards in Excel
- Data sourcing and refinement with Power Pivot
Practical Statistical Applications
- Basics of regression and classification
- Predictive modelling and result interpretation
- Hands-on data analysis scenarios
Introduction to Data Science Principles
- Essentials of data science
- Tools for identifying patterns and trends
- Introductory machine learning techniques
Decision-Making through Data
- Evaluating reports to inform choices
- Effective communication of analytical results
- Case studies and real-world implementations
Wrap-up and Future Directions
Requirements
- Proficiency with fundamental computer operations
- Practical experience with spreadsheets and standard data structures
- Familiarity with the Microsoft Office suite
Intended Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals seeking tools for data-driven decision-making
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
