About

This workshop aims to introduce participants to research methods and statistical learning techniques and equip them with the elementary skills to conduct rigorous research and apply statistical methods to analyze data effectively. The workshop will include lectures, interactive discussions, and practical exercises. Participants will be able to work on real datasets and engage in discussions to reinforce their learning. Topics Covered:

1. Research Design and Methodology

   • Descriptive/correlative and experimental research

   • Explore the main principles behind sampling design 

   • Explore the most common types of experimental design 

   • Sample size and statistical power

2. Statistics Fundamentals

   • Introduction to statistical learning concepts and terminologies.

   • Exploratory data analysis (EDA) and data visualization techniques.

   • Hypothesis testing, confidence intervals, and p-values.

   • Analysis of variance (ANOVA) and regression analysis.

3. Machine Learning Algorithms

   • Supervised learning: linear regression, logistic regression.

   • Model evaluation and validation techniques.