Confident SPSS use - You will learn to navigate IBM SPSS with confidence, use the statistical menus efficiently, and work smoothly with data, output, and chart windows without wasting time.
Reliable data handling - You will learn how to import and export datasets, recognize variable types, create new fields, and save files correctly so your data is ready for further analysis.
Dataset preparation - You will master filtering, sorting, and variable transformations, as well as sampling and missing values, so you can prepare a clean dataset before statistical analysis.
Clear data description - You will learn how to choose and interpret measures of central tendency and variability for qualitative and quantitative data to describe your dataset accurately.
Variable modification - You will practice standardization and normalization, so you can prepare variables for comparison, modeling, and further calculations in a consistent, correct way.
Outlier detection - You will learn how to examine distributions and identify outliers, helping you spot errors, unusual cases, and factors that could distort your statistical results.
Relationships and regression - You will explore relationships between variables using correlation, scatterplots, and regression, so you can assess association strength and build better explanatory models.
Statistical inference - You will understand how to analyze causality and apply one-way and multifactor variance models, so you can compare groups properly and draw sound conclusions from data.
Basic statistics - You should understand core statistical concepts such as mean, median, variance, and correlation so you can follow the analyses performed in SPSS with ease.
Tabular data skills - You should be able to read and organize tabular data, identify rows and columns, and understand the difference between qualitative and quantitative variables.
Computer literacy - You should feel comfortable using a computer, opening and saving files, and moving around software windows, because the course is based on hands-on SPSS work.
Chart interpretation - You should be able to read basic charts and result tables so you can more easily interpret distributions, variable relationships, and model outputs.
