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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
Testimonials (2)
How to use relationships in Power BIand the differences between columns and measurements
LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics
Method of training.