The global economy is in the middle of a data revolution. In May 2018, it was estimated that over 90% of the data in the world was generated in the previous two years (Marr, 2018). This unprecedented data revolution has created a need for business analysts to help companies monetize their data assets. The McKinsey Global Institute estimated that in the United States there would be a demand for two to four million “data translators” by 2026 (Henke et al., 2018). Data analysts and translators need a broad knowledge base to process and interpret data; including a background in statistics. Unfortunately, many students struggle with statistics (Wang et al, 2018) and, in our experience, avoid classes that have a basis in mathematics. This case study outlines how the authors created an introduction to business analytics class utilizing information visualization to engage students and build their confidence before introducing applications of statistics they previously would have avoided. Results suggest that after students engaged with visualization, they were more willing to move outside their comfort zones and learn how to use software to perform statistical analyses.