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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
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
The basic structure of Power BI, its main functions, as well as some advanced functions