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Title : Statistical Package for Social Sciences (SPSS) (pdf version)
Duration : 5 Days
Date : 28 July - 1 August 2014
Timings : 9am-5pm on consecutive days
Cost : Kshs 56,000 (USD 650)
Description : The course is intended to provide an intensive introduction to the latest version of Statistical Package for Social Sciences (SPSS), now known as Predictive Analytics Software (PASW). SPSS is a user- friendly window based statistical software and a powerful and versatile tool for data analysis. The training combines lecture and hands-on laboratory sessions. The course involves an analysis of a subset of a large dataset but participants who are currently working on a particular research project are welcome to bring their own data to work on for the duration of the training.
Prerequisites : Participants should have knowledge of basic statistical concepts and should have experience using MS Windows. Experience with SPSS is not necessary, although a basic understanding of the purpose and functions of the software is helpful.
Course Outline :

Module 1.

Section1: Overview

  • Introduction to SPSS
  • Overview of SPSS for Windows

Section2: Entering data in SPSS

  • Starting SPSS
  • The Data editor
  • The Syntax editor
  • The Output viewer
  • Importing data from excel files


Section3: Modifying and Organizing data in SPSS

  • Creating and defining data
  • Inserting cases and variables
  • Computing new variables
  • Recording variables
  • Sorting cases
  • Selecting cases
  • Listing cases


Module 2

Section4: Summarizing Data

  • Descriptive statistics
  • Frequencies
  • Cross-tabulation

Section5: Inferential Statistics

  • Chi-square
  • T test
  • Correlation
  • Regression
  • General linear model

Module 3

Section 6: Displaying data

  • Tables
  • Exporting tables in SPSS
  • Bar Graphs
  • Modifying and exporting graphs
  • Interactive charts

Module 4

Section 7: Data Manipulation

  • Splitting files
  • Merging files
  • Aggregating data
  • Database capture
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Michael Odhiambo System Admin tatuweb media Having worked with the team at Aster Ires, I would like to recommend them to any one, especially on their proffessinal approach to training.

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