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Course Outline
Fundamentals of Data Management
- Overview of data handling and storage mechanisms
- Core database principles and table construction
- Understanding relational models
Essential Data Analysis Methods
- Descriptive statistics and data distributions
- Utilizing histograms and control charts
- Data stratification and processing workflows
Data Modeling for Informed Decisions
- Introduction to key data modeling concepts
- Managing calendar tables and hierarchies
- Defining field relationships and table joins
Dynamic Reporting Solutions
- Leveraging Excel, Power Query, and DAX
- Designing dashboards within Excel
- Editing and sourcing data via Power Pivot
Practical Statistical Applications
- Foundational regression and classification techniques
- Developing and interpreting prediction models
- Real-world data analysis scenarios
Foundations of Data Science
- Core data science principles
- Tools for identifying patterns and trends
- Basic machine learning techniques
Strategic Data-Driven Decision-Making
- Assessing reports to drive decisions
- Effectively communicating analytical results
- Case studies and practical real-world applications
Key Takeaways and Future Steps
Requirements
- A solid grasp of fundamental computer operations
- Hands-on experience with spreadsheets and common data formats
- Proficiency with Microsoft Office applications
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals looking to adopt data-driven decision-making tools
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
