Courses

Academic courses, lectures, and educational materials covering various topics in cognitive science, data analysis, and programming

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

Course

Comprehensive course covering logistic regression analysis in R, with applications in public health and psychology research. Learn to analyze binary outcomes and interpret odds ratios.

6h • Intermediate • Online
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Survival Analysis in R for Public Health and Psychologists

Course

Master 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.

7h • Int/Adv • Online
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Linear Regression in R for Public Health and Psychology

Course

Learn linear regression modeling in R from correlation analysis to multiple regression with interactions. Master model assumptions and interpretation.

6h • Beg/Int • Online
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AI and Analysis

Coming Soon

Discover how to leverage AI tools and machine learning techniques in your data analysis workflow. Learn to integrate AI for preprocessing, modeling, and interpretation.

In Dev • All Levels
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Qualitative Research Methods in Hand

Course

A comprehensive course covering practical qualitative research methods including writing research questions, designing interviews, and analyzing qualitative research.

6h • All Levels • Online
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Introduction to Qualitative Research

Workshop

An introductory workshop covering qualitative research methodologies, data collection strategies, coding, narrative and thematic analysis.

4h • All Levels • Online
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Ensemble Machine Learning Models

Coming Soon

Advanced course on ensemble machine learning techniques including Random Forest, Gradient Boosting, and XGBoost. Learn to build powerful predictive models.

In Dev • Advanced
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Data Analysis with Python

Updating

Hands-on workshop covering data manipulation, statistical analysis, and visualization using Python libraries like pandas, numpy, and matplotlib.

8h • All levels
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59.5% Complete

Advanced Statistics for Researchers

Updating

Advanced statistical methods for research including multivariate analysis, experimental design, and interpretation of complex datasets.

16h • Graduate
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73.95% Complete