Data Acquisition Using NI-DAQmx and Python Course Overview
In the Data Acquisition Using NI-DAQmx and Python Course, you will explore the fundamentals of data acquisition using sensors, NI data acquisition hardware, and Python. The first part of this class teaches the basics of hardware selection, including resolution and sample rate, and the foundation of sensor connectivity, including grounding and wiring configurations. The second part of this class focuses on using the NI-DAQmx driver to measure, generate, and synchronize data acquisition tasks. You will learn about programming finite and continuous acquisitions, as well as best practices in hardware/software timing, triggering, and logging. In this class, you will get hands-on experience configuring and programming NI data acquisition hardware using NI-DAQmx and Python.
Available formats
Course Objectives
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Develop integrated, high-performance data acquisition systems that produce accurate measurements
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Acquire data from sensors, such as thermocouples and strain gages, using NI data acquisition hardware
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Apply advanced understanding of Python and the NI-DAQmx API to create applications
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Eliminate measurement errors due to aliasing and incorrect signal grounding
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Initiate measurements using hardware and software triggering
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Acquire and generate single-point and buffered analog waveforms
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Acquire and generate digital signals
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Use signal conditioning to improve the quality of acquired signals
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Synchronize multiple data acquisition operations and devices
Course Details
Duration
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Instructor-led Classroom: Two (2) days
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Instructor-led Virtual: Three (3) days, five-and-a-half-hour sessions
Audience
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Developers using Python with NI data acquisition hardware to create data acquisition applications
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Users familiar with the DAQ Assistant or basic NI-DAQmx code that want to expand their programming capabilities
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Users new to PC-based data acquisition and signal conditioning
Prerequisites
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Required basic knowledge of Python
NI Products Used
If you take the course in an instructor-led format:
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NI-DAQmx 2025 Q3
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CompactDAQ Measurements Demo Box
Training Materials
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Virtual instructor-led training includes digital course material that is delivered through the NI Learning Center
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NI virtual instructor-led training is delivered through Zoom, and Amazon AppStream/LogMein access is provided to participants to perform the exercises on virtual machines equipped with the latest software
Cost in Credits
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Public virtual or classroom course: 20 Education Services Credits or 6 Training Credits
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Private virtual or classroom: 140 Education Services Credits or 40 Training Credits
Data Acquisition Using NI-DAQmx and Python Course Outline
| Lesson | Overview | Topics |
|---|---|---|
| Measuring an Analog Signal | Select and connect to the hardware, configure the DAQmx task appropriately, and validate an analog signal. |
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| Generating an Analog Signal | Select and connect to the hardware, configure the DAQmx task appropriately, and validate an analog signal. |
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| Generating and Reading a Digital Signal | Select and connect hardware, configure a task appropriately, and validate a measurement or the generation of a digital signal. |
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| Choosing a Signal to Explore | Choose a specific signal and configure the DAQmx task, including any special signal conditioning needs. |
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| Programming with NI-DAQmx API | Use the NI-DAQmx Python API to automate data communication between a DAQ device and a computer. |
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| Programming Multiple Channels | Explore various methods for multi-channel task creation and their applications. |
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| Triggering on a Specific Condition | Acquire data on a specific condition and explore how to use hardware sources as triggers. |
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| Exploring Advanced Timing and Synchronization Methods | Use an appropriate method for synchronizing multiple DAQ tasks. |
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| Logging Measurement Data to Disk | Log data to a TDMS file to store and analyze post-acquisition. |
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| Exploring System Considerations | Explore additional aspects of building a data acquisition system. |
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Upgrade to Membership
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