Course Outline
- Introduction
- Dataset & Resources
- Statistical Conceptual Foundations
- Data Entry: Mastering Data Input in SPSS
- Managing Various File Types in SPSS
- Data Transformation in SPSS: RECODE and Other Functions
- Descriptive Statistics using SPSS
- Advanced Descriptive Statistics in SPSS
- Independent Sample t-test: Comparing Means of Two Independent Groups
- Paired Sample t-test: Comparing Differences Between Two Correlated Groups
- One-Way ANOVA: Comparing Differences Among More Than Two Groups
- Linear Regression: Analyzing Causal Effects of One Independent Variable on One Dependent Variable
- Multiple Regression: Analyzing Causal Effects of Multiple Independent Variables on One Dependent Variable
- Hierarchical Regression Analysis
- Exploratory Factor Analysis
- Chi-Square Test
- Reliability Analysis
- Graphical Presentation & Data Visualization in SPSS
- Logistic Regression
- Moderation and Mediation Analysis Using PROCESS Macro
- General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)
- One-Way Repeated Measure ANOVA
- Correlations
- Measures of Association
- Troubleshooting and Bug Fixing in SPSS
- ANCOVA: One-Way Analysis of Covariance
- MANOVA (Multivariate Analysis of Variance)
- Python for SPSS Users
- Ratio Statistics in SPSS
- TURF Analysis in SPSS
- Advanced Data Visualization in SPSS
- Survival Analysis
- Meta Analysis
- Assignments
Requirements
- The course is structured for beginners; no prior knowledge of SPSS or statistics is required. Comprehensive coverage of both theoretical concepts and practical applications is included.
- Learners must possess a licensed copy of SPSS software to practice the techniques demonstrated in the course.
Testimonials (4)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
Used good examples, good pace of the training and covered most things
