Dive into a comprehensive video playlist on univariate analysis in statistics and R programming. Learn essential concepts such as t-distribution, confidence intervals, hypothesis testing, and statistical inference. Explore practical applications using R, including t-tests, bootstrapping, and power calculations. Master the fundamentals of data analysis, from describing single variable distributions to conducting one-sample and paired t-tests. Gain valuable insights into error types, sensitivity, specificity, and predictive values in statistical testing. Perfect for beginners in statistics and R programming, this 2.5-hour series provides a solid foundation for more advanced data science techniques.