Quantitative Data Management and Analysis Using SPSS
Location
Nairobi, Kisumu, Homabay
Duration
4 Days
Target
Education, Health, Marketting Researchers and Data Miners
description
curriculum
Training Approach
About SPSS

SPSS is short for Statistical Package for the Social Sciences, and it’s used by various kinds of researchers for complex statistical data analysis. The SPSS software package was created for the management and statistical analysis of social science data. It was was originally launched in 1968 by SPSS Inc., and was later acquired by IBM in 2009. Officially dubbed IBM SPSS Statistics, most users still refer to it as SPSS. As the world standard for social science data analysis, SPSS is widely coveted due it’s straightforward and English-like command language and impressively thorough user manual. SPSS is used by market researchers, health researchers, survey companies, government entities, education researchers, marketing organizations, data miners, and many more for the processing and analyzing of survey data.

Requirements
  • Basic Computer Skills.
  • Laptop/Computer With preferably Windows Installed
  • Passion for Statistical Analysis.
  • You need not prior knowledge of SPSS
What is the target audience?

This course is intended for Data Analysts, Data Scientists, Business Intelligence Analysts and any other professional who want to explore the vast range of analytical and graphical capabilities of SPSS.

What you will Learn
Course Objectives

1. Perform univariate and bi-variate data analyses including hypotheses testing using IBM SPSS Statistics

2. Master R and R Studio user interface

3. Interpret the output and draw appropriate conclusions from the data

4. Produce high quality output (e.g. charts & tabulations) to report your findings and transfer this output to word processing applications

5. Define the time series data in preparation for analysis

6. Apply “Pure” time series models & Apply ARIMA modelling

FAQ
As an upcoming Quantitative Researcher why R?

- open Source

- R provides exemplary support for data wrangling. The packages like dplyr , readr are capable of transforming messy data into a structured form.

- With packages like Shiny and Markdown, reporting the results of an analysis is extremely easy with R. You can make reports with the data, plots and R scripts embedded in them. You can even make interactive web apps that allow the user to play with the results and the data.

Is R a programming?

R is a programming language and environment commonly used in statistical computing, data analytics and scientific research.

What background knowledge is necessary?

Background in Statistics is an added advantage but any one with passion to be a top quantitative researcher is encouraged to apply.

Quantitative Data Management and Analysis Using SPSS

This course aims to build the capacity of quantitative research in quantitative data management and analysis using SPSS. This software has many features that make it the most endearing quantitative data analysis software available, given it’s open source nature.

Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies. Training manuals and additional reference materials are provided to the participants.

Fee Coverage
  • Tuition fees.
  • Writing material
  • 2 mineral water per participant per day, mints.
  • 10am & 4pm tea with three choice snacks
  • 3 Course Buffet lunch with soft drink.
Accomodation

Accommodation will be arranged for our participants upon request.

Payments

Payment receipts made should be sent to info@amrecafrica.org