Data Science Success Using Microsoft Azure - Predictive Analytics

Overview

Explore data science options in Microsoft Azure, including Power BI, Cortana Intelligence Suite, and HDInsight. Learn about pre-built machine learning algorithms and tools for tackling various data science needs.

Syllabus

• Introduction to Data Science in Microsoft Azure
Overview of Azure services for data science
Introduction to Azure Machine Learning Studio
• Understanding Power BI for Data Science
Connecting to various data sources
Data visualization techniques
Creating and sharing dashboards
• Cortana Intelligence Suite Overview
Architecture and components
Integrating with other Azure services
• Machine Learning in Azure
Overview of Azure Machine Learning
Using pre-built machine learning algorithms
Customizing and deploying machine learning models
• Working with Azure HDInsight
Introduction to big data processing
Incorporating HDInsight for data science
Leveraging Hadoop and Spark on Azure
• Applying Predictive Analytics
Building predictive models
Evaluating model performance
Real-world applications and case studies
• Azure Data Storage Solutions
Overview of Azure Storage options
Using Azure Data Lake and Blob Storage
Best practices for managing data storage
• Integration and Automation with Azure
Setting up data pipelines with Azure Data Factory
Automating workflows and processes
Monitoring and troubleshooting data science solutions
• Capstone Project
Defining a business problem
Developing a predictive analytics solution using Azure tools
Presenting findings and actionable insights
• Course Review and Future Trends
Recap of key concepts
Discussion on emerging trends in data science with Azure
Next steps for continued learning and professional growth

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Subjects

Conference Talks