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.

Prerequisites

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

Objectives

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

Modules

Full-time classes:

  • Date: 30th November – 3rd December 2020
  • Time: 9:00 am to 4:00 pm

Important dates

  • Registration deadline: 20th November, 2020
  • Payment deadline: 20th November, 2020

Registration Fee

  • KSHS. 24,000 per person

Mode of payment:

  1. Mpesa

Business number is 100219, Account number is “spsstraining”

  1. Bank deposit

Name: Strathmore University

Bank: STANDARD CHARTERED BANK

Account Number and Currency: 0102044844000 (KES)

Bank Branch: Karen Bank

SWIFT Code: SCBLKENX

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: