Curso: Data Analytics with Python in Power BI

CENTRO DE FORMACIÓN
MODALIDAD
  • Presencial
DURACIÓN
  • 28 horas
LUGAR DE IMPARTICIÓN
  • Aula Virtual
DOCENTES
  • No disponible

Data Analytics with Python in Power BI is the practice of using the Python programming language within Microsoft Power BI, a powerful business intelligence and data visualization tool.

This instructor-led, live training (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively.

By the end of this training, participants will be able to:

  • Learn how Python can be integrated into Power BI for data analysis.
  • Use Python scripts to load, clean, and preprocess data within the Power BI environment.
  • Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
  • Acquire advanced data analysis skills using Python.

Introduction

  • Overview of Data Analytics with Python in Power BI
  • Introduction to Python scripting in Power BI
  • Installing Python packages for Power BI
  • Connecting Power BI to data sources

Data Preparation with Python

  • Data loading and transformation using Python scripts
  • Data cleaning and preprocessing techniques
  • Handling missing data with Python in Power BI

Data Visualization with Python

  • Creating basic visualizations with Python
  • Customizing charts and graphs using Python scripts
  • Interactive data visualization with Python

Advanced Data Analysis with Python

  • Introduction to Pandas for data manipulation
  • Performing advanced 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
  • Time-based calculations and forecasting using Python
  • Visualizing time series data trends

Statistical Analysis with Python

  • Statistical analysis techniques using Python in Power BI
  • Hypothesis testing and A/B testing
  • Incorporating statistical results into reports

Machine Learning Integration in Power BI

  • Introduction to machine learning in Power BI
  • Building and deploying machine learning models with Python
  • Using Python libraries like scikit-learn for predictive analytics

Geospatial Analysis with Python

  • Geographic data visualization and mapping
  • Performing geospatial analysis using Python
  • Creating custom maps and location-based insights

Integration with External APIs and Web Data

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

Summary and Next Steps

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