IBM Integrated Analytics System (IIAS) for Data Scientists (V1.0)
Course Code: 1W710G
Duration: 5 Hours
Price: SGD 1000.00
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Course Description
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.
Objectives
Unit 1 Introduction to IBM Integrated Analytics System • IIAS software overview • IIAS hardware overview • IIAS technologies overview • IIAS architecture overview Unit 2 Introduction to Watson Studio on IBM Integrated Analytics System • Explore the community • Identify the role of projects • Identify analytic assets • Identify environments • Identify jobs • Identify collaborators Unit 3 Work with notebooks • Work with notebooks • Load data into a notebook • Build a model • Save a model • Deploy a model Unit 4 Work with R and RStudio • 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 Unit 5 Optimize performance • In-database analytics versus in-application analytics • Explore in-database analytics using R and Python • Identify analytic stored procedures
Audience
Data scientists, data miners, statisticians, researchers, business analysts performing statistical modeling
Prerequisites
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- Familiarity with basic concepts in data science (machine learning models, scoring, deployment)
- Basic knowledge of notebooks
- Basic knowledge of Python and/or R
Content
Unit 1 Introduction to IBM Integrated Analytics System
• IIAS software overview
• IIAS hardware overview
• IIAS technologies overview
• IIAS architecture overview
Unit 2 Introduction to Watson Studio on IBM Integrated Analytics System
• Explore the community
• Identify the role of projects
• Identify analytic assets
• Identify environments
• Identify jobs
• Identify collaborators
Unit 3 Work with notebooks
• Work with notebooks
• Load data into a notebook
• Build a model
• Save a model
• Deploy a model
Unit 4 Work with R and RStudio
• 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
Unit 5 Optimize performance
• In-database analytics versus in-application analytics
• Explore in-database analytics using R and Python
• Identify analytic stored procedures