In today's fast-paced world, where deadlines are tight, we often rely on familiar and user-friendly graphical user interfaces (GUIs) like Anaconda and RStudio. However, investing time in learning data analysis on the command line can greatly benefit us in the long run, enhancing our skills and productivity as data professionals. This course takes a practical approach to teaching simple yet powerful command-line skills that are specifically tailored for data analysis. By utilizing publicly available Spotify datasets, participants will gain hands-on experience in downloading, processing, cleaning, and transforming data, all through the command line. Additionally, advanced techniques such as command-line based SQL database operations will be covered. Furthermore, participants will have the opportunity to combine the strengths of the command line with Python programming to construct a data pipeline capable of automating a predictive model. This integration of command-line and Python skills will empower participants to streamline their data analysis workflows and enhance their efficiency. By the end of this course, participants will have acquired a solid foundation in command-line data analysis techniques, enabling them to tackle complex data tasks with ease and efficiency. This investment in learning the command line will undoubtedly strengthen their abilities as data professionals and contribute to their long-term success in the field.