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Introduction to IBM SPSS Statistics (V23) (0G504G)

Course Description Schedule Course Outline
 

Who should attend

This basic course is for:

  • Anyone with little or no experience in using IBM SPSS Statistics
  • Anyone who is new to using a statistical package for data analysis
  • Anyone who is considering purchasing IBM SPSS Statistics

Prerequisites

You should have:

  • Experience using applications, such as word processors or spreadsheets, in the Microsoft Windows, Macintosh or Linux environment

Experience with IBM SPSS Statistics is not necessary, though a basic understanding of purpose and functions of the software is helpful

Course Objectives

Introduction to IBM SPSS Statistics (V23) guides you through the fundamentals of using IBM SPSS Statistics for typical data analysis process. You will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. You will also see how easy it is to get data into IBM SPSS Statistics so that you can focus on analyzing the information. In addition to the fundamentals, you will learn shortcuts that will help you save time. This course uses the IBM SPSS Statistics Base features.

Course Content

Introduction to IBM SPSS Statistics (V23) guides you through the fundamentals of using IBM SPSS Statistics for typical data analysis process. You will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. You will also see how easy it is to get data into IBM SPSS Statistics so that you can focus on analyzing the information. In addition to the fundamentals, you will learn shortcuts that will help you save time. This course uses the IBM SPSS Statistics Base features.

Classroom Training

Duration 2 days

Price (excl. tax)
  • Germany: 1,490.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.


Digital courseware Dates and Booking
 
Click on town name to bookSchedule
Germany
28/08/2017 - 29/08/2017 Frankfurt