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Course Outline

Introduction

  • Overview of Python integration in Power BI for analytics
  • Fundamentals of Python scripting within Power BI
  • Setting up Python packages for Power BI compatibility
  • Establishing connections between Power BI and various data sources

Data Preparation using Python

  • Loading and transforming datasets via Python scripts
  • Techniques for data cleaning and preprocessing
  • Strategies for handling missing data in Power BI with Python

Data Visualization using Python

  • Generating foundational visualizations with Python
  • Customizing charts and graphs through Python scripting
  • Creating interactive data visualizations with Python

Advanced Data Analysis with Python

  • Introducing Pandas for data manipulation
  • Executing complex analytical tasks using Python
  • Aggregating and summarizing datasets with Python scripts

Time Series Analysis with Python

  • Processing time series data in Power BI using Python
  • Performing time-based computations and forecasting with Python
  • Visualizing trends in time series data

Statistical Analysis with Python

  • Applying statistical methods in Power BI via Python
  • Conducting hypothesis tests and A/B testing
  • Embedding statistical findings into reports

Machine Learning Integration in Power BI

  • Foundations of machine learning within Power BI
  • Developing and deploying ML models using Python
  • Leveraging libraries like scikit-learn for predictive analytics

Geospatial Analysis with Python

  • Visualizing geographic data and creating maps
  • Executing geospatial computations with Python
  • Generating custom maps and location-specific insights

Integration with External APIs and Web Data

  • Retrieving data from external APIs using Python
  • Techniques for web scraping and data extraction
  • Integrating external data sources into Power BI reports

Summary and Next Steps

Requirements

  • Fundamental grasp of data analysis principles
  • Working knowledge of Microsoft Power BI

Target Audience

  • Data Analysts
  • Information Coordinators
  • Information Analysts
  • Information Administrative Assistants
 28 Hours

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