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Duration 30 hours
Course Outline
Foundations of Data Management
- Overview of data handling and storage mechanisms
- Core database concepts and table construction
- Basics of relational data models
Essential Data Analysis Methods
- Descriptive statistics and probability distributions
- Creating histograms and control charts
- Data stratification and preprocessing techniques
Data Modeling for Strategic Decisions
- Introduction to data modeling principles
- Utilizing calendar tables and data hierarchies
- Managing field relationships and table joins
Advanced Reporting and Visualization
- Leveraging Excel, Power Query, and DAX
- Building interactive dashboards in Excel
- Data sourcing and transformation using Power Pivot
Practical Statistical Applications
- Basics of regression analysis and classification
- Constructing and interpreting predictive models
- Real-world data analysis scenarios
Introduction to Data Science Principles
- Core concepts in data science
- Tools for identifying patterns and trends
- Foundational machine learning techniques
Driving Decisions with Data
- Evaluating reports to guide business choices
- Effectively communicating analytical results
- Case studies and practical applications
Course Wrap-Up and Future Directions
Requirements
- A solid grasp of fundamental computer operations
- Proficiency with spreadsheets and basic data structures
- Working knowledge of Microsoft Office applications
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals aiming to adopt data-driven decision-making practices
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
