Introduction to SPSS for data analysis self-paced

Develop your SPSS skills through a structured approach that emphasizes practical application.

In this course you will learn:

  • Data management fundamentals including variable types, data cleaning, and transformation techniques.
  • Essential statistical concepts such as probability distributions, statistical significance, and hypothesis testing.
  • Exploratory Data Analysis (EDA) methods to understand patterns and relationships in your data.
  • Selection and application of appropriate statistical tests based on data types and research questions.
  • Advanced data visualization techniques to effectively communicate findings.
  • Best practices for documenting your analysis and ensuring reproducibility.
  • Interpretation strategies for various statistical outputs and test results.

The course is suitable for all learners. There are no prerequisites, although familiarity with basic statistical concepts (mean, median, standard deviation) would be beneficial. Please note that this is an extracurricular course, so you won't receive any credits for taking it.

You can complete the course at any time, at your own pace. It should take around 1 hour.