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DW540G – IBM Netezza Analytics for Data Scientists – Using R and NZSQL

Home / DW540G – IBM Netezza Analytics for Data Scientists – Using R and NZSQL

IBM Netezza Analytics provides a game-changing experience for Data Scientists by allowing data miners and quantitative analysts to leverage all the data while still achieving high performance throughout the entire modeling cycle - from data prep through exploratory data analysis through to model scoring and deployment. By leveraging the massively parallel processing architecture of an IBM Netezza Appliance, analytics can be performed in-database so that there is no superfluous data movement. This harnesses the full power of IBM Netezza Appliance and allows data miners and quantitative analysts to greatly reduce the time to build and deploy/score a model in a single environment while leveraging increasing massive data sets and shrinking the time from model concept to deployment.

This course will focus on how to effectively leverage the IBM Netezza Analytics platform to build, test and score analytic models in-database. Students will learn how to leverage:

  • In-Database Analytics fully scalable and parallelized in-database analytics package
  • Enterprise R, the statistical language, that runs on Netezza
  • Matrix Engine, a parallelized, linear algebra package

Course Outline:

Course Outline:

  • Overview IBM Netezza Architecture
  • Getting Started with IBM Netezza Analytics
  • Data Exploration
  • Data Mining with IBM Netezza Analytics using unsupervised learning
  • Data Mining with IBM Netezza Analytics using supervised learning
  • Manipulating large matrices in database
  • Working with User Defined Analytical Processes

Course Audience & Prerequisites:

Audience:

This advanced course is for analytic modelers including: data miners, quantitative analysts and statisticians.

Prerequisites:

You should have:

  • Basic understanding of using advanced analytics (statistics, data mining, etc.) in business problem solutions
  • Working knowledge of R and/or SQL

Course Offerings:

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline:

  • Overview IBM Netezza Architecture
  • Getting Started with IBM Netezza Analytics
  • Data Exploration
  • Data Mining with IBM Netezza Analytics using unsupervised learning
  • Data Mining with IBM Netezza Analytics using supervised learning
  • Manipulating large matrices in database
  • Working with User Defined Analytical Processes

Audience:

This advanced course is for analytic modelers including: data miners, quantitative analysts and statisticians.

Prerequisites:

You should have:

  • Basic understanding of using advanced analytics (statistics, data mining, etc.) in business problem solutions
  • Working knowledge of R and/or SQL

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.