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Course Outline
Introduction to Data Management for Government
- Overview of data handling and storage practices
- Fundamentals of database management and table creation
- Introduction to relational models and their applications
Basic Data Analysis Techniques for Government
- Descriptive statistics and distribution analysis
- Histograms and control charts for data visualization
- Data stratification and processing methods
Data Modeling for Decision-Making in Government
- Introduction to data modeling concepts
- Calendar tables and hierarchical structures
- Field relationships and table joins for enhanced data integration
Dynamic Reporting Tools for Government
- Utilizing Excel, Power Query, and DAX for data manipulation
- Creating interactive dashboards in Excel
- Editing and sourcing data with Power Pivot
Applied Statistical Techniques for Government
- Basic regression analysis and classification methods
- Prediction models and their interpretation
- Practical scenarios for data analysis in government contexts
Introduction to Data Science Concepts for Government
- Fundamentals of data science
- Tools for detecting patterns and trends
- Simple machine learning techniques for government applications
Data-Driven Decision-Making for Government
- Evaluating reports to inform decisions
- Effective communication of results and insights
- Case studies and real-world applications in the public sector
Summary and Next Steps for Government
Requirements
- An understanding of fundamental computer operations for government
- Experience with spreadsheets and basic data formats
- Familiarity with Microsoft Office tools
Audience
- Environmental protection managers
- Data engineers and analysts
- Professionals seeking data-driven decision-making tools for government
30 Hours
Testimonials (1)
Real world knowledge from someone in the industry
