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
 28 Hours

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