Course Outline
Introduction
- Overview of Data Analytics with Python in Power BI for government
- Introduction to Python scripting in Power BI for enhanced data analysis
- Installing Python packages necessary for Power BI integration
- Connecting Power BI to various data sources to support public sector workflows
Data Preparation with Python
- Loading and transforming data using Python scripts to ensure data integrity
- Applying data cleaning and preprocessing techniques for accurate analysis
- Handling missing data effectively within Power BI using Python scripts
Data Visualization with Python
- Creating basic visualizations with Python to enhance report clarity
- Customizing charts and graphs using Python scripts for tailored insights
- Developing interactive data visualizations with Python to support decision-making
Advanced Data Analysis with Python
- Introduction to Pandas for efficient data manipulation in a public sector context
- Performing advanced data analysis tasks using Python scripts to uncover deeper insights
- Aggregating and summarizing data with Python to support governance and accountability
Time Series Analysis with Python
- Analyzing time series data in Power BI with Python for trend identification
- Conducting time-based calculations and forecasting using Python for predictive insights
- Visualizing time series data trends to inform strategic planning
Statistical Analysis with Python
- Applying statistical analysis techniques using Python in Power BI to support evidence-based decision-making
- Conducting hypothesis testing and A/B testing to validate assumptions
- Incorporating statistical results into reports for transparent communication
Machine Learning Integration in Power BI
- Introduction to machine learning capabilities within Power BI for government applications
- Building and deploying machine learning models with Python to enhance predictive analytics
- Utilizing Python libraries like scikit-learn to support advanced data analysis
Geospatial Analysis with Python
- Creating geographic data visualizations and maps to inform public sector initiatives
- Performing geospatial analysis using Python to identify spatial patterns
- Generating custom maps and location-based insights for improved governance
Integration with External APIs and Web Data
- Fetching data from external APIs using Python scripts to enrich Power BI reports
- Conducting web scraping and data extraction to gather comprehensive information
- Incorporating external data sources into Power BI for a holistic view of public sector data
Summary and Next Steps
Requirements
- Basic understanding of data analysis principles
- Familiarity with Microsoft Power BI
Audience
- Data Analyst for government
- Information Coordinator
- Information Analyst
- Information Administrative Assistant
Testimonials (5)
The coding and analysis, how the information come together in a report which will be useful for my work
Nokuthula Dhludhlu - National Transmission Company South Africa
Course - Analyzing Data with Power BI
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Discussing about our issues
Rr Dwi Putri Periska Sari - PT. Becton Dickinson Indonesia
Course - Power BI for Developers
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
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 :)