Data Analysis with SPSS

Categories: Development
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About Course

Develop practical skills in analysing and interpreting data using IBM SPSS Statistics. Learn how to prepare and clean datasets, code variables, conduct descriptive and inferential statistical analyses, test hypotheses, and interpret statistical results. The course covers data visualisation, reliability analysis, correlation, regression, t-tests, ANOVA, and other essential statistical techniques. You will also learn to interpret SPSS outputs, present findings in tables and charts, and report results accurately for academic research, dissertations, theses, and professional research projects.

What Will You Learn?

  • Write Python code for data analysis
  • Clean and prepare datasets
  • Analyze data using Pandas
  • Create effective visualizations
  • Understand statistical concepts
  • Build basic machine learning models
  • Interpret and communicate insights
  • Complete end-to-end data projects

Course Content

Introduction to Quantitative Data Analysis

Data Preparation & Management in SPSS
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Descriptive Statistics & Data Visualisation

Statistical Testing & Analysis

Reliability & Validity Analysis

Correlation & Regression Analysis

Hypothesis Testing & Interpretation

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