This course is second part of Data Acquisition and Processing Skills for Physicists I and II. The primary aim of this course is to equip physics students with fundamental skills in data acquisition and processing, thereby enhancing their ability to confidently handle diverse data sources. These skills are essential for modern physicists who must be adept not only in theoretical calculations but also in the practical aspects of data handling. Students will learn basic data analysis methods and utilize various programming languages, with a focus on Python, to process and visualize data. Additionally, the course will cover the use of various hardware tools for data collection, including but not limited to microcontrollers like Arduino, sensors, and real-time data processing units. The students are expected to finish several mini-projects on data acquisition and processing. This course is implemented based on student projects.