In this course, you will learn various tools and techniques to help you make intelligent decisions based on large or small, as well as raise your awareness of the common risks and pitfalls of data interpretation, and the means and tools available to avoid them. Topics include quantitative and qualitative data interpretation, including the concepts of bias, correlation, causation, sampling, and hypothesis testing. A description of advanced concepts will also be covered, but the focus is placed on operational skills that help professionals at all levels perform routine tasks requiring intelligent data interpretation and analysis.