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Duration 30 hours
Course Outline
Foundations of Data Management
- Understanding data handling and storage mechanisms
- Essentials of databases and creating tables
- Overview of relational data models
Core Data Analysis Methods
- Descriptive statistics and data distributions
- Visualizing histograms and control charts
- Data stratification and preprocessing workflows
Modeling Data for Informed Decisions
- Key concepts in data modeling
- Utilizing calendar tables and hierarchical structures
- Establishing field relationships and joining tables
Tools for Dynamic Reporting
- Leveraging Excel, Power Query, and DAX
- Building interactive dashboards in Excel
- Data sourcing and manipulation with Power Pivot
Practical Statistical Applications
- Foundations of regression and classification
- Developing and interpreting predictive models
- Hands-on data analysis scenarios
Exploring Data Science Principles
- Core tenets of data science
- Utilizing tools for pattern and trend recognition
- Introduction to simple machine learning techniques
Enhancing Decisions Through Data
- Assessing reports to drive strategic choices
- Presenting results with clarity and impact
- Case studies and practical industry applications
Wrap-up and Future Pathways
Requirements
- Familiarity with fundamental computer operations
- Experience working with spreadsheets and basic data structures
- Competence in Microsoft Office applications
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals aiming 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
