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 Duration 28 hours

Course Outline

Introduction

  • Overview of integrating Python for data analytics in Power BI
  • Foundations of Python scripting capabilities within the Power BI ecosystem
  • Installation and configuration of Python packages for Power BI workflows
  • Establishing connections between Power BI and various data sources

Data Preparation with Python

  • Data ingestion and transformation processes utilizing Python scripts
  • Techniques for data cleaning and preprocessing in a professional setting
  • Strategies for managing missing data when using Python within Power BI

Data Visualization with Python

  • Development of fundamental visual representations using Python
  • Customization of charts and graphical outputs through Python scripting
  • Implementation of interactive data visualization features with Python

Advanced Data Analysis with Python

  • Introduction to the Pandas library for structured data manipulation
  • Execution of complex data analysis tasks leveraging Python capabilities
  • Data aggregation and summarization methods using Python scripts

Time Series Analysis with Python

  • Analyzing temporal data streams in Power BI using Python
  • Performing time-based computations and forecasting models with Python
  • Visualization of trends in time series data

Statistical Analysis with Python

  • Application of statistical analysis techniques using Python in Power BI
  • Conducting hypothesis testing and A/B testing methodologies
  • Integration of statistical findings into comprehensive reports

Machine Learning Integration in Power BI

  • Overview of machine learning applications within Power BI
  • Development and deployment of machine learning models using Python
  • Leveraging Python libraries such as scikit-learn for predictive analytics

Geospatial Analysis with Python

  • Visualization and mapping of geographic data assets
  • Execution of geospatial analysis operations using Python
  • Creation of custom maps and location-based analytical insights

Integration with External APIs and Web Data

  • Retrieval of data from external APIs utilizing Python
  • Web scraping and systematic data extraction procedures
  • Incorporation of external data sources into Power BI reporting structures

Summary and Next Steps

Requirements

  • Foundational knowledge of data analysis principles
  • Proficiency with Microsoft Power BI

Audience

  • Data analyst
  • Information coordinator
  • Information analyst
  • Information administrative assistant

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