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Duration 30 hours
Course Outline
Introduction to Data Management
- Overview of data handling and storage solutions
- Database basics and table construction
- Introduction to relational modeling
Basic Data Analysis Techniques
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Data stratification and processing methods
Data Modeling for Decision-Making
- Foundations of data modeling concepts
- Creating calendar tables and hierarchies
- Establishing field relationships and table joins
Dynamic Reporting Tools
- Leveraging Excel, Power Query, and DAX
- Building dashboards within Excel
- Data sourcing and editing using Power Pivot
Applied Statistical Techniques
- Introduction to regression and classification
- Building and interpreting prediction models
- Hands-on data analysis scenarios
Introduction to Data Science Concepts
- Core principles of data science
- Tools for identifying patterns and trends
- Basic machine learning techniques
Data-Driven Decision-Making
- Assessing reports for strategic decisions
- Effectively communicating analytical results
- Reviewing case studies and real-world applications
Summary and Next Steps
Requirements
- Proficiency with basic computer operations
- Experience with spreadsheets and standard data formats
- Familiarity with Microsoft Office applications
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals looking to adopt data-driven decision-making tools
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
