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Duration 28 hours
Course Outline
Introduction
- Overview of Data Analytics with Python in Power BI
- Fundamentals of Python scripting in Power BI
- Installing necessary Python packages for Power BI
- Establishing connections between Power BI and data sources
Data Preparation using Python
- Loading and transforming data via Python scripts
- Techniques for data cleaning and preprocessing
- Managing missing data within Power BI using Python
Data Visualization with Python
- Generating basic visualizations using Python
- Customizing charts and graphs through Python scripts
- Creating 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 via Python scripts
Time Series Analysis with Python
- Analyzing time series data in Power BI using Python
- Performing time-based calculations and forecasting with Python
- Visualizing trends in time series data
Statistical Analysis with Python
- Applying statistical analysis techniques using Python in Power BI
- Conducting hypothesis testing and A/B testing
- Integrating statistical outcomes into reports
Machine Learning Integration in Power BI
- Introduction to machine learning concepts in Power BI
- Building and deploying machine learning models using Python
- Leveraging Python libraries such as scikit-learn for predictive analytics
Geospatial Analysis with Python
- Visualizing geographic data and creating maps
- 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 techniques
- Incorporating external data sources into Power BI reports
Conclusion and Future Directions
Requirements
- Foundational understanding of data analysis concepts
- Working knowledge of Microsoft Power BI
Target Audience
- Data analysts
- Information coordinators
- Information analysts
- Information administrative assistants
Testimonials (2)
The most valuable takeaway was learning how to apply the concepts in real-world scenarios and understanding the tools and processes.
Marcel Tansae - DB Technology
Course - Microsoft Power Automate
How to use relationships in Power BIand the differences between columns and measurements
