From Data Entry and Data Analysis to Interpretation: A Beginner’s Guide to SPSS | Application of SPSS Syntax file
Description
Struggling with data analysis for your manuscript, report, or thesis? Feeling overwhelmed by statistical software? This course is your complete, beginner-friendly guide to mastering the fundamentals of data analysis using SPSS. We will take you on a practical journey from Data Entry and Data Analysis to Interpretation, empowering you to confidently manage your data and present your findings.
This course skips the complex jargon and focuses on a step-by-step, hands-on approach. By the end, you won’t just know how to click buttons—you’ll understand what you’re doing and why you’re doing it.
What you will learn in this course:
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Navigate the SPSS interface with confidence and ease.
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Enter and import your own data, and prepare it for analysis by defining variables and assigning labels.
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Clean and manage your data, including handling missing values and computing new variables.
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Run and interpret essential descriptive statistics such as frequencies, means, and standard deviations.
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Create compelling charts and graphs to visualize your data for reports and presentations.
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Perform and interpret key statistical tests like the independent-samples t-test and the chi-square test.
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Draw meaningful conclusions from your results and effectively communicate your findings.
Who is this course for?
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New Researchers in public health, marketing, or social sciences who need to analyze data for their studies and projects.
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Master’s or Ph.D. Students working on a thesis or dissertation who need to perform data analysis.
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Professionals in various fields (e.g., social sciences, education, business) who need to analyze data from surveys, reports, or studies.
Are there any prerequisites?
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No prior experience with SPSS or statistics is required.
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Access to the SPSS statistical software.
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You should have your research question and data collected and ready for analysis.
If you are a beginner looking to transform raw data into clear, compelling results for your academic or professional work, this is the course for you.
Total Students | 21 |
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Duration | 2 hours |
Language | English (US) |
Number of lectures | 13 |
Number of quizzes | 1 |
Total Reviews | 0 |
Global Rating | 0 |
Instructor Name | Md Ahshanul Haque |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 2 hours
- Practical value: 5/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
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