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Course Outline
Fundamentals of Data Management
- Overview of data handling and storage practices
- Database basics and the creation of tables
- Introduction to relational data models
Foundational Data Analysis Methods
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Data stratification and processing workflows
Data Modeling for Strategic Decisions
- Core concepts in data modeling
- Setting up calendar tables and hierarchies
- Establishing field relationships and joining tables
Tools for Dynamic Reporting
- Applying Excel, Power Query, and DAX
- Building dashboards within Excel
- Managing data sources and editing with Power Pivot
Practical Statistical Applications
- Basics of regression and classification
- Constructing and interpreting prediction models
- Real-world data analysis scenarios
Foundations of Data Science
- Essential principles of data science
- Identifying patterns and trends with specialized tools
- Implementing simple machine learning techniques
Driving Decisions with Data
- Assessing reports to inform business choices
- Effectively communicating analytical results
- Reviewing case studies and practical applications
Conclusion and Future Learning Paths
Requirements
- Fundamental knowledge of basic computer operations
- Practical experience with spreadsheets and standard data formats
- Proficiency with Microsoft Office applications
Target Audience
- Managers in environmental protection sectors
- Data engineers and analysts
- Professionals seeking to integrate data-driven tools into their decision-making processes
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
