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What You'll Learn

Master research design, data management, and statistical analysis using SPSS. Learn to design effective research studies, clean and prepare data, and conduct statistical analyses to draw meaningful conclusions.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Research Design, Data Management, and Statistical Analysis using SPSS - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

In the socio-economic and business context, conducting research, data management and data analysis are imperative for informed decision-making. The availability of several datasets and research techniques opens the gateway to conducting systematic research which will be helpful for consumers, businesses and organizations. A sound knowledge of the methodology of conducting research and use of SPSS as a research, data management and analysis tool is very beneficial for the researchers.

Upon completion of this SPSS short course on research design, data management and statistical Analysis , the participants will develop competence in quantitative techniques through hands-on practices in study design, data collection, and management, as well as the analysis and interpretation of data.

Course Duration

10 Days

Who Should Attend

  • Researchers, academics, and students involved in quantitative research.
  • Data analysts and statisticians seeking to enhance their skills in SPSS.
  • Professionals from various fields such as social sciences, health, education, and business who need to analyze data and interpret statistical results.
  • Individuals who are new to SPSS and wish to gain practical experience in using the software for data analysis.

Course Impact

Organizational Impact

  • Enhance research integrity and credibility through standardized best practices.

  • Improve efficiency and accuracy in data analysis, reducing time and costs.

  • Foster a data-literate culture for informed, evidence-based decisions.

Personal Impact

  • Gain in-demand skills for a career in research and data analysis.

  • Advance into senior research, PI, or data stewardship roles.

  • Lead and manage complex research projects with confidence.

Course Objectives

By the end of this course, participants will be able to

  • Understand the principles and methodologies of research design.
  • Formulate research questions and hypotheses.
  • Design and implement surveys and experiments.
  • Collect, manage, and clean data using SPSS.
  • Perform descriptive and inferential statistical analyses using SPSS.
  • Interpret and report the results of statistical analyses.
  • Apply appropriate statistical techniques to different types of data.
  • Enhance their decision-making and problem-solving skills using statistical evidence.
  • Create visual representations of data and statistical results.
  • Develop a comprehensive understanding of SPSS functionalities and tools.

Course Outline

Introduction to research

  • Introduction to research
  • Different types of research
  • Formulation of research problem statement
  • Formulation of research hypothesis

Overview of Evaluation

  • Evaluation Objectives
  • Evaluation Criteria
  • Evaluation Questions

Research Design

  • Quantitative Research Approaches
  • Qualitative Research Approaches

Sampling

  • Sampling Techniques
    • Probability
    • Non-probability
  • Sample size determination

Data Collection Methods in Research

  • Quantitative data collection methods
  • Qualitative data collection
  • Creating an evaluation framework

Data Collection tools in Research

  • Survey Questionnaire design
  • FGD guide design
  • KII guide design

Developing Research Protocol

  • What is a research protocol?
  • Basic concepts of a research protocol
  • Structure of a research protocol

Mobile Data Collection and Processing (ODK)

  • Introduction to mobile data gathering
  • Design of survey forms using ODK build and XLSForm
  • Use ODK collect to gather data
  • Use ODK aggregate to upload data to the server
  • Work with spatial data (GPS coordinates)

Introduction to SPSS statistical software

  • SPSS interface and features
  • Key terminologies used in SPSS
  • Views: Variable, Data views, Syntax editor
  • Data file preparation
  • Data entry into SPSS
  • Data manipulation: merge files, spit files, sorting files, missing values

Basic Statistics using SPSS

  • Descriptive statistics for numeric variables
  • Frequency tables
  • Distribution and relationship of variables
  • Cross tabulations of categorical variables
  • Stub and Banner Tables

Graphics using SPSS

  • Introduction to graphs in SPSS
  • Graph commands in SPSS
  • Different types of Graphs in SPSS

Statistical Tests using SPSS

  • One Sample T Test
  • Independent Samples T Test
  • Paired Samples T Test
  • One-Way ANOVA

Statistical Associations in SPSS

  • Chi-Square test
  • Pearson’s Correlation
  • Spearman’s Rank-Order Correlation

Predictive Models using SPSS

  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • Ordinal Regression

Longitudinal Analysis using SPSS

  • Features of Longitudinal Data
  • Exploring Longitudinal data
  • Longitudinal analysis for continuous outcomes

Qualitative Data Analysis using NVivo

  • Introduction to NVivo
  • NVivo workspace
  • Uploading qualitative data into NVivo
  • Coding and making nodes
  • Use of queries
  • Project visualization

Survey Report writing and Dissemination

  • Survey report format
  • Survey report content
  • Survey findings dissemination
  • Use of survey findings for decision making

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

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  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to design research, manage data, and perform statistical analysis using SPSS to produce reliable and valid findings.
SPSS is a powerful software for statistical analysis. It helps you analyze data from surveys or experiments to test hypotheses and discover meaningful patterns.
You'll learn to formulate research questions, develop a sound methodology, and design a survey or experiment that generates quality data for analysis.
The training covers how to clean data, recode variables, handle missing data, and prepare a dataset in SPSS for accurate and efficient statistical analysis.
You'll learn to perform descriptive statistics, t-tests, ANOVA, chi-square tests, and regression analysis to understand relationships and differences in your data.
Training on Research Design, Data Management, and Statistical Analysis using SPSS

Next class starts 5 Jan 2026

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