Data Science in Power BI Desktop - Achieving AI Analytics

Overview

Explore advanced data science techniques for custom visuals in Power BI, enhancing your ability to create AI-driven analytics and insightful visualizations.

Syllabus

• Introduction to Data Science in Power BI
Overview of Power BI Desktop
Introduction to AI and Data Science Concepts
Importance of AI Analytics in Business Intelligence
• Power BI Desktop Advanced Features
Data Import and Transformation
Utilization of DAX for advanced calculations
Creating sophisticated data models
• Developing Custom Visuals
Introduction to R and Python scripting in Power BI
Designing and deploying custom visuals
Leveraging R and Python libraries for data visualization
• AI Insights with Power BI
Utilizing AI visuals in Power BI
Integrating Azure AI and Cognitive Services
Building predictive models within Power BI
• Enhancing Analytics with Machine Learning
Introduction to Machine Learning concepts
Implementing machine learning models using Python in Power BI
Applying models to create predictive analytics
• Interactive and Insightful Dashboards
Designing interactive dashboards with custom visuals
Enhancing user experience with AI-driven analytics
Sharing and collaborating on insights
• Real-World Applications and Case Studies
Industry-specific applications of AI in Power BI
Case studies showcasing successful implementation of AI analytics
• Best Practices and Future Trends
Data governance and ethical considerations in AI analytics
Future trends in AI and data science for Power BI
• Capstone Project
Develop a comprehensive Power BI report utilizing AI elements
Presentation and peer review of the project outputs

Subjects

Conference Talks