Learn how to use SPSS to calculate descriptive and inferential statistics, create data visualizations like scatterplots and other charts, and perform multiple-regression analysis.
- Hi, I'm Bart Poulson, and I'd like to welcome you to SPSS Statistics Essential Training. SPSS is a statistics and data analysis program from IBM. It's very popular, it's very powerful, and it's a great way to work with your data for new insights. In this course, I'll teach you to use charts, such as histograms, bar charts, scatter plots and box plots, to get the big picture of your data. Descriptive statistics, such as mean, standard deviations, and correlations for a more precise depiction of your data and inferential statistics, like t-tests, the analysis of variance, and chi-squared to help you determine the reliability of your results and how they can generalize to a broader population.
I'll also show you how to enter and read data in SPSS, create data labels, check and clean data, and create new variables and compute transformations. Finally, I'll demonstrate how you can format your charts and tables for presentation, save your stubs and syntax files to recreate and share your analyses, export your results to use in other programs, and share your results with others. If you're ready to get going, let's get started with SPSS Statistics Essential Training.
- Build charts, scatterplots, and box plots
- Calculate descriptive statistics such as means and standard deviations
- Use inferential statistics such as t-tests and chi-squares
- Enter and read data
- Create new variables and crosstabulations
- Model associations with correlations, contingency tables, and multiple-regression analysis
- Format and export presentations to share your data
Plus, learn how to extend the power of SPSS with Python and R. This course is ideal for first-time researchers and those who want to make the most of data in their professional and academic work.
Skill Level Beginner
1. Getting Started
2. Charts for One Variable
3. Modifying Data
4. Working with the Data File
5. Descriptive Statistics for One Variable
6. Inferential Statistics for One Variable
7. Charts for Associations
8. Statistics for Associations
9. Sharing Results
10. Extending SPSS
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