Research, Data management, Tabulations & Graphics, Statistical Analysis and Inferences using SPSS Training - Versed

Nairobi
5 days
Course
Company Training

Benefits

Course Overview

This five day training programme is designed to provide participants with a practical application of the statistical component of IBM SPSS Statistics when it comes to research, data management, tabulations and statistical analysis. Taken at the Versed Training Facility in Nairobi, this programme provides an interactive and welcoming environment in which learners will review several statistical techniques, gain an understanding of when and why to use these various techniques, as well as how to apply them with confidence, interpret their output, and graphically display the results. 

Organisations of all sizes and scales, across nearly every industry, now utilise systems and processes that automatically aggregate and collect vast amounts of data. But for this information to have any real value that employers can use to gain a competitive advantage, companies need professionals who are capable of analysing and interpreting it in meaningful ways, creating a high demand for individuals with SPSS skills. If you're looking for a career that comes with high job satisfaction and unique challenges, then this course will build your capacity with the practical skills required in this highly competitive sector 

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How This Course Will Benefit Your Career

At the end of the course, students will be able to: 

  • Understand how to create and edit a data file
  • Enter categorical and continuous data 
  • Define, label, validate, and sort variables
  • Graph quantitative data
  • Perform descriptive and inferential data analysis 

Certification obtained

Participation Certificate 

What jobs will I qualify for?

This course enhances learners' knowledge and skill in a number of careers including: 

  • Health Researcher 
  • Market Researcher 
  • Education Researcher 
  • Quantity Surveyor 

When do I start?

Next available course

Admission Criteria

To be eligible for this course, students must be reasonably proficient in English. No prior knowledge of SPSS is required. 

How do I apply?

In order to apply for this course, students must fill in the relevant individual or company registration form.

Payment options

The total fee for this course is 800 USD. This covers: 

  • Tuition 
  • Training Materials
  • Two break refreshments 
  • Lunch 
  • Study Visits

How to Pay
Payments should be transferred to Versed Professional Services Account through the bank 7 days before commencement of training. 

Note
  • All participants will additionally care for their travel expenses, visa application, insurance, and other personal expenses.
  • Accommodation is arranged upon request. 

Detailed course information

This course is taken at the Versed Training Facility over the course of five days. The course outline is as follows:

Module 1: Statistical Concepts and Overview of SPSS
  • Statistical Concepts
  • Descriptive Statistics
  • Common inferential statistics
  • Overview of SPSS
  • SPSS window-dialog boxes
  • File Extensions (new, Open, Open Datasets)
  • Save, Save As, import and exporting datasets
  • Printing
  • Creating and editing a data file

Module 2: Data Entry and Management
  • Entering categorical and continuous data
  • Defining and labeling variables
  • Validation and Sorting variables
  • Transforming, recoding and computing variables
  • Restructuring data
  • Replacing missing values
  • Merging files and restructuring
  • Splitting files, Selecting cases and weighing cases
  • Syntax and output

Module 3: Graphics using SPSS
  • Chart Builder
  • Graphboard Template Chooser
  • Graphing quantitative data

Module 4: Quantitative Data analysis (Part I)
  • Descriptive Analysis
  • Tables
  • Hypothesis testing
  • Comparing Means.
  • Regression and Correlation analysis

Module 5: Quantitative Data analysis (Part II)
  • Loglinear models
  • Dimension reduction
  • Scale
  • Non parametric tests
  • Reports

CUSTOMISED TRAINING
This training can also be customised for your particular institution upon request. You can have it delivered to your preferred location. 
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Course Provider