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Course Outline
Fundamentals of Data Management
- Overview of data handling and storage strategies
- Database basics 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
- Core concepts in data modeling
- Setting up calendar tables and hierarchies
- Defining field relationships and table joins
Dynamic Reporting Solutions
- Working with Excel, Power Query, and DAX
- Constructing dashboards in Excel
- Data editing and sourcing via Power Pivot
Practical Statistical Techniques
- Foundations of regression and classification
- Interpreting prediction models
- Real-world data analysis scenarios
Basics of Data Science
- Foundational data science principles
- Tools for identifying patterns and trends
- Introductory machine learning techniques
Strategic Data-Driven Decision Making
- Assessing reports to guide business decisions
- Effectively communicating analytical results
- Case studies and practical applications
Wrap-Up and Future Directions
Requirements
- Proficiency in fundamental computer operations
- Experience with spreadsheets and basic data structures
- Knowledge of Microsoft Office applications
Target Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals seeking tools for data-driven decision-making
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
