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Course Outline
Introduction to Data Analysis Tools for Government
- Overview of Python, R, Power Query, and Power BI for government use
- Applications of data analysis across various public sector operations and governance
- Setting up the tools and environment for effective data management in government agencies
Data Cleaning and Preparation for Government
- Using Python libraries (Pandas) for data cleaning in governmental datasets
- Data cleaning and transformation with Power Query for enhanced data integrity in public sector projects
- Handling missing data and inconsistencies to ensure reliable government reporting
Statistical Analysis with R for Government
- Basic statistical functions and data manipulation in R, tailored for government datasets
- Exploratory data analysis to support evidence-based decision-making in public sector operations
- Building and interpreting statistical models to inform policy and program evaluations
Data Integration and Transformation for Government
- Combining data from multiple sources with Power Query to enhance comprehensive reporting in government agencies
- Integrating Python and R workflows with Power BI for seamless data analysis in the public sector
- Ensuring data consistency and quality to support transparent and accountable governance
Visualizing Data with Power BI for Government
- Creating dynamic dashboards and visualizations to enhance transparency and public engagement
- Using Power BI to identify trends and insights that inform strategic planning in government agencies
- Sharing and publishing reports to support collaborative decision-making and public access to information
Applications and Industry Case Studies for Government
- Real-world case studies in data analysis, with a focus on governmental applications
- Developing workflows for common industry scenarios relevant to government operations
- Hands-on project to consolidate learning and apply best practices in public sector data management
Summary and Next Steps for Government
Requirements
- Basic understanding of statistics
- Familiarity with spreadsheets and data entry
- No prior programming experience required
Audience for Government
- Business analysts
- Data professionals
- Project managers
- Administrative staff
21 Hours
Testimonials (2)
The subject was taught in an engaging way, making me want to learn more.
kgotla Moncho - Martin Engineering Africa
Course - PL-300T00: Microsoft Power BI Data Analyst
The coding and analysis, how the information come together in a report which will be useful for my work