Understanding how data science technical skills and concepts apply to real-world jobs can be a significant challenge. This course addresses this challenge by providing valuable insights for professionals seeking to enhance their marketing roles with Python and pandas or gain a better understanding of the responsibilities of a data scientist in a marketing organization. Throughout the course, we will focus on translating common business questions into measurable outcomes. By utilizing a fabricated marketing dataset derived from an online subscription business, we will explore questions such as How did this campaign perform?, Which channel is generating the most subscribers?, and Why is a specific channel underperforming?. These exercises will enable participants to develop the skills necessary to analyze and interpret data effectively. The course will also delve into essential Python and pandas fundamentals, including merging and slicing datasets, utilizing groupby() functions, correcting data types, and visualizing results using matplotlib. By mastering these foundational skills, participants will be equipped to handle complex data analysis tasks and present their findings in a clear and visually appealing manner. Overall, this course offers a comprehensive and practical approach to bridging the gap between data science skills and their application in real-world marketing scenarios. Whether you are seeking to enhance your current role or gain a deeper understanding of data science in marketing, this course is an ideal fit for you.