Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
- Fundamental understanding of data analysis concepts.
- Familiarity with Microsoft Power BI.
Target Audience
- Data analysts.
- Information coordinators.
- Information analysts.
- Information administrative assistants.
28 Hours
Testimonials (1)
The coding and analysis, how the information come together in a report which will be useful for my work
