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Course Outline
Foundations of Data Management
- Overview of data handling and storage mechanisms
- Database fundamentals and constructing tables
- Introduction to relational data models
Core Data Analysis Techniques
- Descriptive statistics and probability distributions
- Utilizing histograms and control charts
- Stratifying and processing data
Data Modeling for Strategic Insights
- Foundations of data modeling
- Managing calendar tables and hierarchical structures
- Establishing field relationships and table joins
Advanced Reporting Capabilities
- Leveraging Excel, Power Query, and DAX
- Designing dashboards within Excel
- Data editing and sourcing via Power Pivot
Practical Statistical Applications
- Basics of regression and classification analysis
- Building and interpreting predictive models
- Hands-on data analysis scenarios
Foundations of Data Science
- Core concepts in data science
- Tools for identifying patterns and trends
- Introduction to simple machine learning techniques
Implementing Data-Driven Decisions
- Assessing reports to inform business decisions
- Effectively communicating analytical results
- Case studies and practical real-world examples
Wrap-up and Future Pathways
Requirements
- A solid grasp of fundamental computer operations
- Proficiency with spreadsheets and common data formats
- Familiarity with Microsoft Office suite tools
Target Audience
- Environmental compliance and protection managers
- Data engineers and business analysts
- Professionals aiming 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
