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Course Outline
Introduction to Data Management
- Overview of data processing and storage mechanisms
- Foundations of databases and table construction
- Introduction to relational data models
Core Data Analysis Techniques
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Data stratification and processing workflows
Data Modeling for Strategic Decisions
- Introduction to data modeling principles
- Managing calendar tables and hierarchies
- Defining field relationships and table joins
Advanced Reporting Tools
- Working with Excel, Power Query, and DAX
- Building interactive dashboards in Excel
- Data editing and sourcing via Power Pivot
Practical Statistical Applications
- Fundamentals of regression and classification
- Building and interpreting prediction models
- Real-world data analysis scenarios
Foundations of Data Science
- Essential data science concepts
- Tools for identifying patterns and trends
- Basic machine learning techniques
Enhancing Decision-Making with Data
- Evaluating reports to inform business decisions
- Effective communication of analytical results
- Case studies and practical real-world applications
Wrap-Up and Future Directions
Requirements
- Proficiency in basic computer operations
- Practical experience with spreadsheets and fundamental data formats
- Familiarity with the Microsoft Office suite
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals aiming to adopt data-driven decision-making tools
30 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6500 € + VAT*
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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
