Statistical Analysis with SPSS | London TFE IT Course

Overview
Course Outline
Scheduled Dates

Course Overview

SPSS, renowned as one of the leading statistical packages, offers exceptional capabilities for handling complex data manipulation and analysis through user-friendly commands. Its versatile functionality caters to interactive sessions and non-interactive batch processing, making it an invaluable asset across various industries.

While SPSS remains highly regarded in social science as a cornerstone for statistical analysis, its utility extends far beyond those boundaries. Market researchers, health professionals, survey companies, government entities, education researchers, marketing organizations, data mining specialists, and numerous others rely on SPSS to derive actionable insights from their data.

SPSS's comprehensive suite of features empowers users to navigate the intricacies of data analysis, cementing its status as a trusted solution for professionals across diverse sectors. Its widespread adoption speaks volumes about its capacity to meet the analytical needs of an ever-expanding range of users.

Objective:

Understand and explain vital statistical terms and concepts.
Develop a solid foundation in statistical terminology used in data analysis.
Recognise the role and significance of SPSS in statistical analysis.
Comprehend the advantages and benefits of using SPSS for data analysis.
Understand different types of measurements (nominal, ordinal, interval, ratio).
Identify and choose the appropriate statistical tests based on research objectives and data characteristics.
Understand the assumptions and requirements of different statistical tests.
Apply statistical techniques to draw meaningful conclusions from the data.
Utilise SPSS effectively for data entry, manipulation, and analysis.
Master essential SPSS functions and commands to streamline the analytical process.

Course Outline

Day 1: Introduction to Statistics and Key Statistical Measures

Definition of Statistics and its Scope
Importance of Statistics in Decision-Making
Statistical Indicators to Measure Processes
Averages: Mean, Median, and Mode

Day 2: Understanding Dispersion and Normal Distribution

Measures of Dispersion: Range and Standard Deviation
Understanding Population and Sample
Sampling Techniques and Considerations
Introduction to Normal Distribution Concept
Applications of Normal Distribution in Statistics

Day 3: Getting Started with SPSS

Introduction to SPSS Software
SPSS Options and Functions Overview
Getting Started with SPSS: Interface and Data Files
Data Entry: Manual Input and Importing from Excel
Editing and Manipulating Data Files in SPSS

Day 4: Data Exploration and Visualization in SPSS

Exploring Your Data in SPSS: Data Visualization and Summary Statistics
Creating Graphs and Charts in SPSS
Descriptive Statistics in SPSS: Measures of Central Tendency and Dispersion
Interpreting Descriptive Statistics Outputs in SPSS

Day 5: Statistical Significance Testing in SPSS

Parametric Significance Tests
Nonparametric Significance Tests
Understanding Hypothesis Testing and Statistical Inference
Applying Statistical Analysis Techniques in SPSS

Schedule & Fees

3 For 2Offer

Get the most out of group training with our special discount! Register 3 of your participants together on the same course and only pay for 2.

Select Month

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December

Location

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London

London

$5,900

Duration: 5 Days

date: 01 - 05 Dec 2025

Innovation and Artificial Intelligence (AI)

Statistical Analysis by Using SPSS

Duration:5 Days

date:01 - 05 Dec 2025

London

$5,900

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Maisa Abed

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+44 2071836657

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