Arrow Electronics, Inc.

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

CODE: 1W710G

LENGTH: 5,04 Hours

PRICE: kr 1.340,00

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 overviewUnit 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 collaboratorsUnit 3 Work with notebooks Work with notebooks Load data into a notebook Build a model Save a model Deploy a modelUnit 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 modelUnit 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

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

Programme

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

Session Dates
Date
Location
Time Zone
Language
Type
Guaranteed
PRICE

01 mar 2024

English

Web based Training

kr 1.340,00

We also offer sessions in other countries