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
Testimonials (5)
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
Blessing made sure that he knows every one , and referred every candidate by their name which is excellent. He is a well experienced Trainer and has patience, and very helpful to all the candidates. Trainer like him make the training more interesting. Wish to have him allocated to my next training that I will be doing with your company.
Alfred Mashala - National Transmission Company South Africa
Course - Analyzing Data with Power BI
What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs
Ernesto Sitoe Junior - Electricidade de Mocambique
Course - Advanced Power BI
The second day as Power Bi is a really friendly tool, and clearly Costas knows it very well, it was really good to learn about that tool. Unfortunately we have to see Power pivot in excel first which is really not user friendly but definitely a must see first in order to understand how Power Bi works, and it makes Power Bi look super cool :)
Anne-Cecile Jacquot - Ameropa
Course - Excel to Power BI
The second day was very interesting. It was a good training to see some possibilities within Power BI; but mostly you learn then while you work with Power BI. Fact is also that the training base has all access rights and everything works, but as soon as you try to connect to the live system, it does not work and this makes the knowledge transfer a bit difficult.