[100% Off] Getting Started With Ibm Spss Statistics For Beginners
Step-by-step guide to mastering data entry, cleaning, and preparation in IBM SPSS Statistics for Absolute Beginners
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.
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 will guide you step by step through everything you need to know to get started with IBM SPSS Statistics.
You’ll begin by understanding what SPSS is, how it compares to tools like Excel, R, or Python, and why it’s trusted by researchers and professionals across industries. Then, you’ll learn how to enter, import, label, and organize data properly. By the end of this course, you’ll be able to clean and prepare datasets for analysis confidently — even if you’ve never used SPSS before.
Through real-world examples and hands-on demonstrations, you’ll discover how to define variables, handle missing data, recode values, compute new variables, and apply best practices in data preparation. Each module includes short quizzes to help you check your understanding along the way.
Whether you’re a student, researcher, or professional, this course will help you build a solid foundation for data analysis using SPSS — without writing a single line of code. You will also gain confidence in working with datasets, preparing reports, and interpreting results clearly. By the end, you’ll have the skills and confidence to organize, analyze, and interpret data like a pro.
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
