Statistical Data Analysis using SPSS

Statistical Data Analysis using SPSS course provides an introduction to applied statistics and SPSS for analyzing quantitative data. Participants who have an interest in learning and picking up quantitative data analysis methods and concepts will find this course useful and applicable. Practical data analysis sessions will be based on publicly available.

Why the Course?

Evidence-based programs within National and County government circles, Non-profit making organizations, corporate organizations requires concrete knowledge in data analysis and results from interpretation. It is therefore imperative that technocrats, programmers and policymakers are adequately equipped with relevant data analysis skills. This course is tailored to introduce statistical knowledge and prepare participants for data analysis tasks.


This course is designed with beginners in mind and assumes no prior knowledge of statistics or quantitative research background. Participants are expected to come with their own laptops.

Course Outline

Each session will include a lecture followed by practicals. Participants will also get a chance to see how data analysis is being applied in a real-life scenario.

Introduction to Statistics: Types of statistics, types of variables, summarizing and presenting data

Introduction to SPSS: Data entry, data manipulation

Statistical Inferences: Hypothesis testing

Test statistics: parametric and non-parametric tests

Correlation and regression: Simple and multiple linear regression, logistic regression


The course will:

Introduce participants to SPSS as a data analysis tool

Introduce survey data as a key quantitative resource for social science research

Introduce basic statistics for exploratory data analysis including methods for describing and summarizing variable distributions

Provide essential skills for data manipulation including selecting subsets and recoding

Introduce the visual representation of variables in scatter graphs, bar charts, and histograms

Examine the relationships between variables


Full-time classes:

Date: 2nd – 5th March 2020

Time: 9:00 am to 4:00 pm

Evening class:

Date: 2nd -12th March 2020

Time: 5.30pm to 8.30pm

Important dates

Registration deadline: 25th February, 2020

Payment deadline: 25th February, 2020

Registration Fee

Early bird registration fee (Register before or on 25th November, 2019) – KSh. 30,000.

Late registration fee (After 25th November 2019) – KSh. 35,000

Mode of payment:

  1. Mpesa

Business number is 100219, Account number is “spsstraining”

  1. Bank deposit

Name: Strathmore University


Account Number and Currency: 0102044844000 (KES)

Bank Branch: Karen Bank


Cancellation Policy

For withdrawal cases, the portion of course fee to be refunded is based on date of notice as follows:

2 weeks before commencement of the course – Full refund

Less than 2 weeks before commencement of the course – 70% refund

On or after the date of commencement – No refund


Kindly fill the form below to register: