Data visualization is a crucial aspect of data science, as it allows for the discovery of insights and effective communication of results. While scatter plots and bar graphs are commonly taught, the true power of data visualization lies in understanding how, what, and why you visualize your data. This course focuses on creating captivating visualizations that effectively communicate your findings. It includes a comparison of US data and explores how uncertainty can be displayed. The course concludes with the use of open-access data from farmers' markets to create a polished visual report. By learning Python and utilizing its tools for data science, participants can gain the necessary skills to excel in this field.