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Course Outline
Foundations of Data Management
- Overview of data handling and storage mechanisms
- Core database principles and table construction
- Basics of relational data models
Essential Data Analysis Methods
- Descriptive statistics and data distributions
- Application of histograms and control charts
- Data stratification and processing workflows
Data Modeling for Informed Decisions
- Core concepts in data modeling
- Implementation of calendar tables and hierarchical structures
- Defining field relationships and table joins
Tools for Dynamic Reporting
- Leveraging Excel, Power Query, and DAX
- Dashboard creation within Excel
- Data sourcing and manipulation via Power Pivot
Application of Statistical Techniques
- Foundations of regression and classification
- Predictive modeling and result interpretation
- Scenarios for practical data analysis
Introduction to Data Science Principles
- Core data science fundamentals
- Tools for identifying patterns and trends
- Basic machine learning approaches
Strategic Data-Driven Decision-Making
- Evaluating reports to guide business choices
- Effective communication of analytical results
- Case studies and real-world implementations
Course Wrap-Up and Future Steps
Requirements
- Proficiency in fundamental computer operations
- Practical experience with spreadsheets and standard data formats
- Working knowledge of Microsoft Office applications
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals looking to adopt data-driven decision-making frameworks
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
