Efficiently working with large datasets and extracting valuable information is a crucial skill for aspiring data scientists. Often, we underestimate the impact of slow code execution when dealing with small amounts of data. This course aims to enhance your Python and pandas library proficiency by introducing you to efficient built-in pandas functions that can significantly expedite various tasks. By leveraging these functions, you can effortlessly handle basic operations like targeting specific entries and features, as well as more complex tasks such as applying functions on groups of entries, all at a much faster pace compared to traditional Python methods. Upon completion of this course, you will possess the ability to apply functions to data based on feature values, swiftly iterate through extensive datasets, and efficiently manipulate data belonging to different groups. These techniques will be applied to real-world datasets, including examples like poker hands and restaurant tips.