Creating conclusions – forming decisions – from data inevitably involves concepts from statistics. Why? Because statistics helps to quantify the risk of being misled when trying to reason with data and helps you make more reliable, credible decisions and conclusions. If you are working with data and crave to better understand foundational statistical concepts as you progress in your data analysis or quality improvement journey, this will fit the bill perfectly. This course will explore key concepts of inferential statistics (estimation intervals and hypothesis testing) and of model creation (linear regression) by using sample data with technology such as Microsoft Excel and R.