IBM Integrated Analytics System (IIAS) for Data Scientists (V1.0) eLearning
- Codice corso: 1W710G-WBT
- Durata corso: 5h
Overview
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.
Audience
Data scientists, data miners, statisticians, researchers, business analysts performing statistical modeling
Prerequisites
- Familiarity with basic concepts in data science (machine learning models, scoring, deployment)
- Basic knowledge of notebooks
- Basic knowledge of Python and/or R
Objective
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
Course Outline
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