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Course Outline
Fundamentals of Data Management
- Overview of data handling and storage mechanisms.
- Essentials of databases and the creation of tables.
- Introduction to relational data models.
Foundational Data Analysis Methods
- Descriptive statistics and data distributions.
- Utilization of histograms and control charts.
- Techniques for data stratification and processing.
Data Modeling Strategies for Decisions
- Core concepts in data modeling.
- Structuring calendar tables and data hierarchies.
- Managing field relationships and table joins.
Advanced Reporting Instruments
- Application of Excel, Power Query, and DAX.
- Designing interactive dashboards within Excel.
- Data sourcing and editing using Power Pivot.
Practical Statistical Applications
- Basics of regression and classification analysis.
- Building and interpreting prediction models.
- Scenarios for applied data analysis.
Overview of Data Science Principles
- Fundamental principles of data science.
- Tools for identifying patterns and trends.
- Application of simple machine learning techniques.
Making Decisions Based on Data
- Evaluating reports to inform business decisions.
- Effective communication of analytical results.
- Examination of case studies and real-world applications.
Conclusions and Future Directions
Requirements
- A solid grasp of fundamental computer operations.
- Practical experience with spreadsheets and common data formats.
- Familiarity with the Microsoft Office suite.
Target Audience
- Environmental protection managers.
- Data engineers and analysts.
- Professionals looking to enhance their data-driven decision-making capabilities.
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
