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Advanced Graphics, Tabulations and Statistical Analysis using SPSS


SPSS is used extensively in business, government and academia. It is a statistical analysis package and so allows any organization or individual that holds large amounts of data to analyze it and understand it more deeply. At its most simple it is very useful for discovering correlations between different variables. At its most powerful it can be used to make statistically valid forecasts for future events or results.

Everything in our course is aimed at making you a faster and more relaxed SPSS user. Our courses are deliberately hands-on including lots of small exercises and examples to ensure that you spend time working with SPSS. We believe that software skills that are developed in this way are deeper than those developed from classroom explanations. Our exercises are carefully chosen to emphasis the key aspects of each lesson.


10 days


This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling. No Prior attendance of a SPSS course is required.The training is designed for participants who are reasonably proficient in English.


The training is designed for participants who are reasonably proficient in English.


10 Days


  • Understand and appropriately use statistical terms and concepts
  • Design computer aided data capture screens using CSPRO
  • Use mobile phone data collection tool Open Data Kit (ODK) to collect survey data
  • Convert data into various formats using appropriate software
  • Perform basic data analysis tasks with SPSS
  • Perform simple to complex data management tasks using SPSS
  • Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS
  • Perform basic longitudinal, time series and econometric analysis


Module One

Basic statistical terms and concepts

  • Basic data quality checks
  • Basic exploratory data analysis procedures
  • Basic Descriptive Statistics
  • The core functions of inferential statistics
  • Common inferential statistics

Concepts and Software for Data Processing

  • Data Processing using Census and Surveys Processing Software (CsPro)
  • Use of Mobile Phones for Data Collection and Processing

An overview of SPSS

  • Opening file and file extensions
  • Mouse and keyboard processing,
  • Frequently –used dialog boxes
  • Editing output
  • Printing results
  • Creating and editing a data file

Module Two

Data Entry, management and Manipulation

  • Enter categorical and continuous data
  • Define and label variables
  • Transform, recode and compute variables
  • Help files
  • Replacing missing values
  • Exploring data Selecting and sorting cases
  • Restructuring data
  • Merging files
  • Syntax and output

Tabulations and Graphics

  • Creating and editing graphs and charts
  • Graphing Qualitative data
  • Graphing Quantitative data
  • Frequency Tables
  • Cross Tabulations
  • Stub and Banner Tables

Module Three

Quantitative Analysis using SPSS

  • Introduction to estimation and hypothesis testing
  • One sample tests: t-test, sign and signed rank tests
  • Two-sample tests: t-test, Mann-Whitney test
  • Three or more samples
  • Correlation and simple linear regression

Advanced Statistical Analysis

  • Regression Analysis
  • Data Reduction Methods
  • Introduction to Longitudinal Analysis Using SPSS
  • Introduction to Time Series Analysis
  • Introduction to Econometric Analysis


Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.


The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.


The training is residential and will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814


This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment should be transferred to IRES account through bank on or before C.O.B.  13th May 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.    Participants may cancel attendance 14 days or more prior to the training commencement date.

2.    No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 10 Days
Event Date 20-05-2019
Event End Date 31-05-2019
Cut off date 13-05-2019
Individual Price(Kenyan) KES 139,000
Individual Price (International) EUR 1,592
Individual Price(International in Dollars) USD 1,853
Location Nairobi, Kenya
We are no longer accepting registration for this event
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