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Mastery IBM-SPSS in 30 Days: The Ultimate Beginner’s Guide
731 students

Mastery IBM-SPSS in 30 Days: The Ultimate Beginner’s Guide

Step-by-step guide to mastering data entry, cleaning, and preparation in IBM SPSS Statistics for Absolute Beginners
Created byTraining Que
Last updated 4/2026
English

What you'll learn

  • Understand what SPSS is and how it compares to other statistical tools like Excel, R, and Python.
  • Navigate the SPSS interface confidently, including Data View and Variable View.
  • Import, label, and organize datasets from Excel or CSV files for analysis
  • Clean and prepare data by handling missing values, recoding variables, and computing new ones.
  • Apply a structured data analysis workflow to summarize, visualize, and interpret results accurately.

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Course content

4 sections • 12 lectures • 1h 6m total length

  • What is SPSS?5:29

    Learn SPSS, the statistical package for the social sciences, for quantitative data analysis from data entry to descriptive statistics, charts, correlations, and tests like t tests, ANOVA, and regression.

  • Key Features and Who Uses SPSS6:14
  • SPSS vs. Other Tools (Excel, R, Python)6:00
  • Overview of the Data Analysis Workflow5:57
  • Question 1

Requirements

  • No prior SPSS or statistics experience required — this course is designed for absolute beginners.
  • You will need a computer with IBM SPSS Statistics (version 24 or higher) installed.
  • A basic understanding of what data looks like (e.g., rows = participants, columns = variables) will be helpful.

Description

Are you new to SPSS and not sure where to start? This beginner-friendly course provides a clear, step-by-step introduction to SPSS data analysis software, helping you build confidence in using IBM SPSS Statistics from day one.

You’ll begin by learning what SPSS is, how IBM SPSS Statistics compares to tools like Excel, R, or Python, and why it is widely trusted by researchers, analysts, and professionals across multiple industries. From there, you’ll learn how to enter, import, label, and organize data correctly within SPSS data analysis software. By the end of this course, you’ll be able to clean and prepare datasets for analysis with confidence—even if you’ve never used SPSS before.

Using real-world examples and hands-on demonstrations, you’ll discover how to define variables, manage and handle missing data, recode values, compute new variables, and apply best practices for data preparation in IBM SPSS Statistics. Each module includes short quizzes to reinforce learning and help you track your progress as you build essential data analysis skills.

Whether you’re a student, researcher, or working professional, this course gives you a strong foundation in data analysis using SPSS data analysis software—without writing a single line of code. You’ll gain the skills needed to work efficiently with datasets, prepare accurate reports, and interpret statistical results clearly.

By the end of the course, you’ll have the knowledge and confidence to organize, analyze, and interpret data using IBM SPSS Statistics, empowering you to make data-driven decisions and advance your academic or professional work.

AI Disclaimer:
Some elements of this course (such as narration, visuals, or supporting materials) were created or enhanced with the assistance of artificial intelligence tools, under the instructor’s guidance and review

Who this course is for:

  • Students and researchers who need to analyze data for assignments, theses, or dissertations.
  • Professionals in education, healthcare, business, or social sciences who want to use SPSS for real-world data analysis.
  • Beginners who have never used SPSS but want a simple, step-by-step introduction.
  • Anyone tired of searching online tutorials and ready to learn SPSS properly from the ground up.

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