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Course Outline
Foundations of Data Management
- Overview of data handling and storage practices.
- Core database concepts and table construction.
- Introduction to relational data models.
Essential Data Analysis Methods
- Descriptive statistics and data distributions.
- Utilizing histograms and control charts.
- Data stratification and processing workflows.
Data Modeling for Strategic Insights
- Core concepts of data modeling.
- Setting up calendar tables and hierarchical structures.
- Defining field relationships and executing table joins.
Advanced Reporting Tools
- Working with Excel, Power Query, and DAX expressions.
- Building effective dashboards in Excel.
- Data sourcing and editing techniques using Power Pivot.
Practical Statistical Applications
- Foundations of regression and classification algorithms.
- Developing prediction models and interpreting results.
- Real-world data analysis scenarios.
Introduction to Data Science Principles
- Fundamental concepts of data science.
- Tools for identifying patterns and trends.
- Basic machine learning methodologies.
Implementing Data-Driven Decisions
- Assessing reports to support business decisions.
- Effectively communicating analytical outcomes.
- Case studies and practical applications.
Course Recap and Future Directions
Requirements
- Fundamental proficiency in basic computer operations.
- Practical experience with spreadsheets and standard data formats.
- Working knowledge of Microsoft Office applications.
Target Audience
- Environmental compliance and protection managers.
- Data engineers and 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
