Teaching
Courses and academic activities
Courses and academic activities
Introductory course on data analysis, covering univariate and bivariate descriptive analysis, probability and random variables, and R programming for data analysis.
Foundational knowledge in statistical inference, covering sampling, estimation, confidence intervals, hypothesis testing, analysis of variance, and goodness-of-fit tests, including extensive use of statistical software.
Essential theoretical and practical foundations in statistics, covering topics from descriptive statistics to probability, random variables, distribution models, statistical inference, quality control, and linear regression