Data Analytics with Python in Power BI Training Course
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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
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
Requirements
- Basic understanding of data analysis concepts
- Familiarity with Microsoft Power BI
Audience
- Data analyst
- Information coordinator
- Information analyst
- Information administrative assistant
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