IBM Integrated Analytics System (IIAS) for Data Scientists (V1.0) eLearning – 1W710G WBT

image_pdfCourse Outline PDF

Enrol

 

Details


Course Code: 1W710G

Brand: HDM – IBM Integrated Analytics Systems

Category: Analytics

Skill Level: Intermediate

Duration: 5.0H

Modality: WBT

 

 

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

 

Short Summary


This course teaches data scientists how to use the data science capabilities of IBM Integrated Analytics System.

 

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. 

 

Topic


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

 

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

Tags :
Call Now ButtonCall Now +27 72 266 2599