Starting from Jan 2025, all courses including:
- EEG/ERP analysis in Python
- Signal Processing in Python for Neuroscientists
- Statistical Modelling and Hypothesis Testing in R & Python
- Psychopy Programming: A Python-based experiment design
are online and there will not be any offline courses.
Logistic Regression in R for Public Health and Psychology
CourseComprehensive course covering logistic regression analysis in R, with applications in public health and psychology research. Learn to analyze binary outcomes and interpret odds ratios.
Survival Analysis in R for Public Health and Psychologists
CourseMaster survival analysis techniques including Kaplan-Meier plots and Cox regression in R. Learn to analyze time-to-event data for public health and psychology research.
Linear Regression in R for Public Health and Psychology
CourseLearn linear regression modeling in R from correlation analysis to multiple regression with interactions. Master model assumptions and interpretation for public health and psychology applications.
AI and Analysis
Coming SoonDiscover how to leverage AI tools and machine learning techniques in your data analysis workflow. Learn to integrate AI for preprocessing, modeling, and interpretation in research.
Qualitative Research Methods in Hand
CourseA comprehensive course covering practical qualitative research methods including writing research questions, designing interviews, collecting observational data, and analyzing qualitative research.
Introduction to Qualitative Research
WorkshopAn introductory workshop covering qualitative research methodologies, data collection strategies, coding, narrative and thematic analysis, and practical applications across disciplines.
Ensemble Machine Learning Models in Health and Psychology
Coming SoonAdvanced course on ensemble machine learning techniques including Random Forest, Gradient Boosting, and XGBoost. Learn to build powerful predictive models for health and psychology research.
Data Analysis with Python
UpdatingHands-on workshop covering data manipulation, statistical analysis, and visualization using Python libraries like pandas, numpy, and matplotlib.
Advanced Statistics for Researchers
UpdatingAdvanced statistical methods for research including multivariate analysis, experimental design, and interpretation of complex datasets.