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This course teaches data scientists how to use the data science capabilities of IBM Integrated Analytics System, using Watson Studio, RStudio, Spark, and in-database analytics.
Please refer to course overview
Data scientists, data miners, statisticians, researchers, business analysts performing statistical modeling
• IIAS software overview
• IIAS hardware overview
• IIAS technologies overview
• IIAS architecture overview
• Explore the community
• Identify the role of projects
• Identify analytic assets
• Identify environments
• Identify jobs
• Identify collaborators
• Work with notebooks
• Load data into a notebook
• Build a model
• Save a model
• Deploy a model
• Describe the RStudio component of IBM Integrated Analytics System
• Describe the data science capabilities of the RStudio component
• Use RStudio to create and deploy a model
• In-database analytics versus in-application analytics
• Explore in-database analytics using R and Python
• Identify analytic stored procedures