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Course Outline

Introduction

  • Survey of Data Analytics with Python in Power BI
  • Overview of Python scripting within Power BI
  • Installation of necessary Python packages for Power BI
  • Establishing connections between Power BI and various data sources

Data Preparation with Python

  • Loading and transforming data via Python scripts
  • Techniques for data cleaning and preprocessing
  • Managing missing data using Python in Power BI

Data Visualization with Python

  • Constructing fundamental visualizations with Python
  • Customizing charts and graphs through Python scripts
  • Implementing interactive data visualizations with Python

Advanced Data Analysis with Python

  • Introduction to Pandas for data manipulation
  • Executing complex data analysis tasks using Python
  • Aggregating and summarizing data with Python scripts

Time Series Analysis with Python

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

Statistical Analysis with Python

  • Statistical analysis methods utilizing Python in Power BI
  • Hypothesis testing and A/B testing
  • Incorporating statistical outcomes into reports

Machine Learning Integration in Power BI

  • Introduction to machine learning capabilities in Power BI
  • Building and deploying machine learning models with Python
  • Utilizing Python libraries such as scikit-learn for predictive analytics

Geospatial Analysis with Python

  • Visualizing and mapping geographic data
  • Conducting geospatial analysis using Python
  • Generating custom maps and location-based insights

Integration with External APIs and Web Data

  • Retrieving data from external APIs using Python
  • Web scraping and data extraction
  • Incorporating external data sources into Power BI reports

Summary and Next Steps

Requirements

  • Fundamental understanding of data analysis principles
  • Proficiency in using Microsoft Power BI

Target Audience

  • Data analysts
  • Information coordinators
  • Information analysts
  • Administrative information assistants
 28 Hours

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