Mastering the Art of Data!
The Data Mastery Training program is an initiative of the Sydani Institute for Research and Innovation designed to equip participants with the knowledge, skills, and tools necessary to excel in the field of data analysis and research. This intensive training covers a wide range of topics, from foundational concepts to advanced techniques, providing participants with a solid understanding of data-driven and research analytics. The program will train participants on popular data analysis tools and technologies such as SPSS, STATA, R among others.
Data Mastery Using SPSS
SPSS (Statistical Package for the Social Sciences) is a powerful software tool widely used for statistical analysis, data management, and data visualization. The Data Mastery training using SPSS will provide participants with the knowledge and skills to effectively utilize SPSS for various purposes, including research, academic studies, market research, and business analytics. The training utilizes a combination of instructor-led lectures, hands-on exercises, and practical demonstrations to facilitate learning. Participants will have the opportunity to apply SPSS techniques to real-world datasets, gaining practical experience and confidence in using the software. Experienced facilitators will provide guidance, feedback, and support throughout the training.
Learning Outcomes
Basic & Intermediate
- Master key statistical concepts
- Learn how to design effective questionnaires
- Master techniques to preprocess raw data
- Learn to interpret correlation analysis results
- Master the art of data visualization
Advanced
- Learn how to test hypotheses
- Learn how T-test compares means across multiple groups
- Learn about regression models
- Discover how ANOVA compares means across multiple groups
- Discover how MANOVA compares means across multiple variables
Advanced Pro
- Learn different regression models
- Explore moderation and mediation analysis using the PROCESS macro
- Master structural equation modelling (SEM)
- Learn exploratory and confirmatory factor analysis techniques
- Explore random number generation and Monte Carlo simulation techniques
Topics and Duration
Outline
- Conceptual Foundation of Statistics
- Questionnaire Design
- Sampling Technique
- Introduction to SPSS
- Data Entry in SPSS
- Working with various file types in SPSS
- Data Transformation in SPSS
- Descriptive Statistics in SPSS
- Correlations
- Correspondence Analysis and Principal Component Analysis
- Graphical Presentation and Data Visualization
Course Fee: N150,000
Outline
- Hypothesis Testing
- T-test Analysis (Independent and Paired Sample)
- ANOVA (One-way and Two-way ANOVA)
- Regression Analysis (Linear, Multiple, Logistic/Logit)
- MANOVA (multivariate analysis of variance)
Course Fee: N180,000
Outline
- Moderation and Mediation Analysis using PROCESS macro
- Quantile, Two-Stage, Weighted Poisson, Negative Binomial, Normal Regression and Ordinal Regression
- Exploratory and Confirmatory Factor Analysis
- Structural Equation Modelling
- Random Number Generation and Monte-Carlo Simulation
- Bayesian Modelling
- Time Series Analysis
Course Fee: N200,000
Benefits of the Data Mastery Training
