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Statistical Analysis by Using SPSS

  • Overview ImageOverview
  • Outline ImageCourse Outline
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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.


  • 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.
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Course Outline

Day 1

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

Day 2

  • 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

  • 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

  • Exploring Your Data in SPSS: Data Visualisation 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

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

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  • Innovation and Artificial Intelligence (AI)

Statistical Analysis by Using SPSS

Duration:5 Days (20 CPD hours)

date:24 - 28 Jun 2024




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Statistical Analysis by Using SPSS

  • FranceParis
  • calendar24 - 28 Jun 2024
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Statistical Analysis by Using SPSS

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  • FranceParis
  • 24 - 28 Jun 2024
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