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

Course Name:

IBM Integrated Analytics System (IIAS) for Data Scientists (V1.0)

1W710G

Skill Level:

Intermediate

Modality:

WBT – Web Based Training

Duration:

0.625 Day/s

Price:
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Overview:

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

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. 


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Target Audience:

Data scientists, data miners, statisticians, researchers, business analysts performing statistical modeling

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Prerequisites:

  • Familiarity with basic concepts in data science (machine learning models, scoring, deployment)
  • Basic knowledge of notebooks
  • Basic knowledge of Python and/or R

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 • DesCR – Classroom Trainingibe the RStudio component of IBM Integrated Analytics System • DesCR – Classroom Trainingibe the data science capabilities of the RStudio component • Use RStudio to CR – Classroom Trainingeate 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

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 • DesCR – Classroom Trainingibe the RStudio component of IBM Integrated Analytics System • DesCR – Classroom Trainingibe the data science capabilities of the RStudio component • Use RStudio to CR – Classroom Trainingeate 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

Remarks:

Category:

Analytics

Product Name:

IBM Integrated Analytics System

Badge and Certification Info:

0

Brand: 

Analytics

Follow on Courses:

 

 

Replaced By:

iias;watson studio;machine learning;ml;Rstudio;spark;sailfish

Lab Access Duration:

 

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