Effective data visualization is crucial in the field of data science as it allows for the discovery of insights within the data and facilitates the communication of these insights to the intended audience. While many individuals acquire the ability to create basic scatter plots or bar charts during their journey towards becoming a data scientist, the true potential of data visualization is realized when one takes a step back and considers the purpose, rationale, and methodology behind visualizing the data. This course aims to equip you with the skills necessary to construct compelling and visually appealing visualizations that effectively convey the results of your analyses. Throughout the course, we will delve into various topics such as comparing data, understanding the intricacies of color usage, representing uncertainty, and selecting the appropriate visualization techniques based on the target audience. To facilitate learning, we will explore datasets related to air pollution across the United States and farmer's markets. By the end of the course, you will have the opportunity to apply your newfound knowledge by creating a polished and impactful visual report using publicly accessible data on farmer's markets.