Take Control of the Data of You

Übersicht

Explore personal data insights using Azure Machine Learning, Cosmos DB, and Power BI to create a digital assistant for health monitoring and habit formation.

Lehrplan

• Introduction to the Course
Overview of Personal Data and its Importance
Course Objectives and Expected Outcomes
Overview of Tools: Azure Machine Learning, Cosmos DB, Power BI
• Module 1: Understanding Personal Data
Defining Personal Data in the Context of Digital Assistants
Types of Health Data and Habit Tracking Metrics
• Module 2: Azure Machine Learning
Introduction to Azure Machine Learning
Setting Up an Azure Account and Environment
Basics of Machine Learning Models for Health Data
Training, Deploying, and Evaluating Models in Azure
• Module 3: Storing and Managing Data with Cosmos DB
Introduction to Cosmos DB and Its Role in Data Management
Setting Up a Cosmos DB Instance
Ingesting and Organizing Health and Habit Data
Querying and Retrieving Data Efficiently
• Module 4: Data Visualization with Power BI
Introduction to Data Visualization
Creating Dashboards in Power BI
Connecting Power BI to Cosmos DB
Visualizing Health Patterns and Habit Formation
• Module 5: Building a Digital Assistant
Designing the Digital Assistant Architecture
Integrating Azure Machine Learning, Cosmos DB, and Power BI
Implementing Health Monitoring Features
Developing Habit Formation and Tracking Functionalities
• Module 6: Advanced Insights and Personalization
Using Machine Learning for Personalized Recommendations
Data Privacy and Ethical Considerations
Exploring Advanced Machine Learning Models for Refinement
• Module 7: Project Implementation
Project Setup and Requirements
Step-by-Step Guide to Implementing the Digital Assistant
Testing and Iterating Based on User Feedback
• Conclusion and Future Directions
Summary of Key Learnings
Future Trends in Health Monitoring and Digital Assistants
Continuous Learning and Resources for Further Exploration
• Course Wrap-up
Final Q&A Session
Feedback and Course Reviews
Certification and Next Steps

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Fachgebiete

Conference Talks