Text-based data is a large portion of the data that must be cleaned, analyzed, and visualized in day-to-day business operations. The insights from customer product reviews, social media, and even chatbots are necessary for businesses to react and respond appropriately to the customer and user-based interactions. The ability to automate the analysis and understand the positive or negative response is where Sentiment Analysis is both useful and challenging. My Capstone Prototype focused on a novice programmer's approach to the process and understanding of sentiment analysis using the Python programming language and the TextBlob library within that language as the primary tools.