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The Data Acquisition Using NI-DAQmx and Python course introduces you to the core concepts, tools, and programming techniques needed to acquire, generate, and synchronize measurement data using NI data acquisition (DAQ) hardware and Python. You will explore hardware selection, sensor connectivity, grounding and wiring best practices, and the fundamentals of signal conditioning. Through hands-on exercises, you will learn how to configure and validate DAQmx tasks, acquire and generate analog and digital signals, and apply hardware and software triggering. As the course progresses, you will use the NI-DAQmx Python API to develop finite and continuous acquisition applications, work with multiple channels and devices, implement timing and synchronization methods, and log measurement data to disk using TDMS. You will also examine system-level considerations such as accuracy, bus performance, and application architecture.\r \r By the end of the course, you will be able to create reliable, scalable Python applications that acquire, process, visualize, and store real-world measurement data using NI DAQ devices. This course is recommended for developers who are new to PC-based data acquisition, users transitioning from the DAQ Assistant or basic NI-DAQmx workflows, and Python programmers looking to expand their data acquisition capabilities.