Statistics and Data Analysis Training with SPSS
This training provides a comprehensive understanding of data collection, organization, and analysis methods using the SPSS software.
Participants will learn how to code and enter data, adjust variable properties, handle missing values, and perform various statistical tests using SPSS.
The program is designed to build practical skills in both descriptive and inferential analysis, enabling participants to draw meaningful conclusions from data.
SPSS will facilitate efficient and accurate manipulation and analysis of large datasets, making it an essential tool for students, researchers, analysts, and professionals who rely on data-driven decision-making.
MODULE 1: Creating and Organizing Data with SPSS
- Coding and entering data from a questionnaire into SPSS
- Adjusting variable properties in SPSS
- Handling missing values using SPSS
- Computing new variables in SPSS
MODULE 2: Descriptive Analyses with SPSS
- Frequency tables and descriptive statistics in SPSS
- Cross-tabulation tables in SPSS
- Creating charts and graphs with SPSS
MODULE 3: Bivariate Tests with SPSS
- Correlation tests: Pearson, Spearman, partial, and canonical correlations in SPSS
- Chi-square (χ²) test with SPSS
MODULE 4: Parametric and Non-Parametric Tests with SPSS
- T-test with SPSS
- Analysis of Variance (One-way ANOVA) with SPSS
- Z-test with SPSS
- Kolmogorov-Smirnov (K-S) test with SPSS
- Wilcoxon test with SPSS
- McNemar test with SPSS
- Mann-Whitney U test with SPSS
Other course(s) in this category
→ Statistics and Data Analysis Training with SPSS
→ Python Training: Finance and Time Series
Prerequisites:
Objectives:
- Understand the basic principles of data coding and entry with SPSS
- Learn how to organize and process data effectively using SPSS
- Master descriptive and inferential analysis techniques with SPSS
- Perform statistical tests with SPSS to validate hypotheses
Online
- 08/01/2026
- 09/01/2026
- 19/02/2026
- 20/02/2026
Montreal
- 14/05/2026
- 15/05/2026
- 25/06/2026
- 26/06/2026
Pricing
Practical information
- Duration: 2 day(s)
- Schedule: 9:00 a.m. to 4:30 p.m. (2 coffee breaks + 1-hour lunch)
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Format:
- Online (live virtual classroom)
- Or in person, depending on availability
📄 Download course outline (PDF)
Registration detailsInterested in this training?
Free quote with no obligation
Registration with credit card payment
“ I want to thank you both for providing my resources some excellent training(Cobol) over the past 3 days. Mamadou, thank you for being so accommodating on such short notice and for sending your facilitator to Gatineau for this customised and personalised training course. We’ll look forward to continuing our partnership for future training needs. “
“J’ai grandement apprécié les méthodes d’enseignement du prof. Le fait que nous soyons un petit groupe a grandement facilité les apprentissages. Il s’adapte à son audience et les exercices sont formateurs. Je recommande fortement. “
“ Ce fut un plaisir de faire affaires avec Doussou Formation. Ce qui fait LA différence est le service personnalisé totalement à l'écoute des participants ainsi que l'adaptation aux besoins de formation. Flexibilité / Adaptabilité / Professionnalisme / Courtoisie. Merci!“