Quantitative Data Management & Analysis Using SPSS

The training on data analysis using SPSS is essential in the improvement of higher comprehension of the principles of statistics. It's going to offer the individuals with a wide idea of computer-assisted data evaluation. Moreover, the training is going to focus on developing abilities that are essential to the transformation of info using SPSS.
Course DURATION: five DAYS
Objectives of Data Analysis using SPSS Training:
• Detecting the outliers inside a data series
• Performing the basic data analysis procedures: Frequencies, Descriptives, Explore, Means, Crosstabs
• Testing the principle of normality
• Transform variables
 Who Can Attend?
The program targets project staff, decision makers, managers, researchers, and development practitioners that are accountable for programs and projects in an organization.

Program Content
· Introduction
· Creating Charts in SPSS
Information Transformations
· Checking for Normality Using Numerical and graphical Methods
· Detecting Outliers Using Graphical and numerical Methods
· Detecting Outliers - How you can Handle the Outliers
· Data Transformations
 · Pearson Correlation - Introduction
· ANOVA
· Predictive Techniques, sequential, binomial, multiple, multinomial, simple, and ordinal regression,
· Scaling Techniques
· Data Reduction
· Principal Component Analysis
· Correspondence Analysis
· Grouping Methods
· Cluster Analysis
· Discriminant Analysis
· Multiple Response Analysis

NB: The above topics are just part of what will be covered.

Date

Venue

Register

25th-29th Nov 2024

Nairobi

9th-13th Dec 2024

Mombasa

10th-14th Feb 2025

Nairobi

10th-14th March 2025

Istanbul

7th-11th April 2025

Nairobi

9th-13th June 2025

Dubai

7th-11th July 2025

Nairobi

8th-12th Sept 2025

Nairobi

6th-10th Oct 2025

Nairobi

3rd-7th Nov 2025

Mombasa

1st-5th Dec 2025

Nairobi

12th-16th Jan 2026

Nairobi

Multiple Training Categories

We offer broad training categories  suitable for your needs depending on your profession.

Wish to get more details about this training?


+254706345988

[email protected]

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