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IBM

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

P.IVA 06249920965
C.C.I.A.A. REA: MI - 1880014
Cap. Soc. € 12.000,00

Contatti

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