COURSE OVERVIEW

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops.
This course is designed to provide participants with a detailed and up-to-date overview of Quantitative Analysis. It covers the qualitative and quantitative analysis and the basic mathematical and statistical concepts; the types of data and measures of central tendency; the data collection techniques, sampling methods and graphical representation; the basic probability concepts and probability distributions; the null and alternative hypotheses testing; and estimating population parameters and margin of error.
During this interactive course, participants will learn the paired and unpaired t-tests and assumptions and interpretations; the one-way and two-way ANOVA, F-statistic and p-values; the simple linear regression covering regression equation, coefficients, assumptions and diagnostic tests; the multiple linear regression comprising of adjusted R-squared, model fit and handling multicollinearity; the correlation analysis, time series analysis and non-linear regression models; the supervised and unsupervised learning and common algorithms, quantitative tools and software; and the factor analysis, cluster analysis, financial quantitative analysis, marketing analytics and operational research.