Course Outline
- Getting started with SPSS
- Obtaining, Editing, and saving Statstical output
- Manipulating Data
- Descriptive Statistics Procedures
- Evaluating Score Distribution Assumptions
- t Tests
- Univariate Group Differences: Anova and Ancova
- Multivariate Group Dfferences: Manova
- Nonparametric procedures for ananlysing frequesncy data
- Correlations
- Regression with Quantitative Variables
- Regression with Categorical Variables
- Principal Components Analysys and Factor Analysis
Testimonials (6)
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
I liked that the trainer made sure we all understood and were following the lectures. if we had a problem, he stopped and helped us fix it.
Cesar - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.
Anna - Birmingham City University
Course - Foundation R
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
The flexible and friendly style. Learning exactly what was useful and relevant for me.