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Data Acquisition Using NI-DAQmx and Python Course Overview

The Data Acquisition Using NI-DAQmx and Python Course Overview by National Instruments teaches engineers how to build high-performance data acquisition systems using Python and NI hardware, solving critical measurement and synchronization challenges. As demand for Python-integrated DAQ skills surges in automotive and aerospace industries, this course provides the essential expertise to master the NI-DAQmx Python API. Koenig Solutions delivers this official vendor-authorized courseware, ensuring you gain hands-on experience with signal acquisition and data logging. Enroll today to accelerate your industrial test system development and gain practical skills for immediate professional application.

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Course Overview

The Data Acquisition Using NI-DAQmx and Python Course Overview by National Instruments is designed for developers, test engineers, and automation professionals seeking to build high-performance data acquisition systems using Python. This course provides foundational and advanced training in configuring and programming NI data acquisition hardware with the NI-DAQmx Python API, preparing learners for real-world applications in industries such as manufacturing, aerospace, and research. With over 90% of Fortune 500 companies using National Instruments hardware for test and measurement, proficiency in NI-DAQmx is a highly sought-after skill. The curriculum is ideal for Python developers integrating sensor data, engineers migrating from DAQ Assistant, and technical professionals aiming to enhance their data acquisition expertise.

Students engage with key technologies including NI-DAQmx 2025 Q3, CompactDAQ Chassis, and C Series I/O modules for analog input, analog output, and digital I/O. The hands-on lab component is conducted in a virtual environment using Amazon AppStream/LogMein, where learners configure real NI hardware and develop Python applications to acquire and generate analog and digital signals. A core project involves building a synchronized data acquisition system that logs temperature, strain, and vibration data to TDMS files, simulating industrial monitoring scenarios. Through exercises in triggering, timing, and multi-device synchronization, students gain practical experience in eliminating measurement errors and optimizing system accuracy.

This course prepares professionals for certification as Certified LabVIEW Developers, a credential recognized across the test and measurement industry. According to industry surveys, engineers with NI-DAQmx and Python skills earn an average salary of $95,000 in the United States, reflecting strong market demand. Koenig Solutions enhances learning with 1-on-1 training, Guaranteed-to-Run batches, and access to official National Instruments courseware, ensuring hands-on mastery. Graduates are equipped to design scalable, real-time data acquisition systems, positioning them for roles in R&D, industrial automation, and systems engineering.

What You'll Learn

✓Configure analog signal measurements with NI-DAQmx and Python, gaining practical skills in data acquisition for engineering projects.
✓Generate precise analog waveforms using NI data acquisition hardware, enabling accurate signal testing and analysis.
✓Implement digital signal acquisition and generation tasks, enhancing your ability to handle complex measurement systems.
✓Deploy hardware and software triggering with NI-DAQmx, improving synchronization and automation in data collection.
✓Synchronize multiple NI DAQ devices using advanced timing methods, ensuring high-accuracy multi-channel measurements.
✓Log measurement data to TDMS files via the NI-DAQmx API, facilitating efficient data storage and analysis for research and development.

Skills You'll Gain

NI-DAQmx Python API NI DAQ Hardware Analog Signal Measurement Digital Signal Generation Sensor Connectivity Signal Conditioning Hardware Timing Software Triggering Finite Acquisition Continuous Acquisition Data Synchronization TDMS Data Logging NI-DAQmx Task Configuration CompactDAQ Integration Python Data Acquisition Measurement Accuracy Bus Performance Optimization

Prerequisites

Recommended knowledge before taking this course
  • Learners must have a solid understanding of Python programming (version 3.8 or higher), including object-oriented programming, error handling, and familiarity with libraries such as NumPy and PyVISA. Additionally, students are required to have the NI-DAQmx driver installed on their development machine to interface with National Instruments hardware.
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Career Outcomes

85%

of Data Acquisition Using NI-DAQmx and Python Course Overview certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Data Acquisition Using NI-DAQmx and Python Course Overview certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Acquisition Engineer
  • Test Automation Engineer
  • Instrumentation Engineer
  • Systems Integration Engineer
  • Python DAQ Developer
  • Measurement Systems Developer

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  • ★★★★★

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

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Frequently Asked Questions

Everything you need to know about the Data Acquisition Using NI-DAQmx and Python Course Overview training course

Is the certification exam included in the Data Acquisition Using NI-DAQmx and Python Course Overview fee?
The certification exam is not included in the course fee. The Certified LabVIEW Associate Developer (CLAD) exam costs $125 for professionals or $50 for students, payable directly to National Instruments via Pearson VUE.
What training formats does Koenig offer for the Data Acquisition Using NI-DAQmx and Python Course Overview?
Koenig offers live online, 1-on-1 private, classroom, and self-paced Flexi formats, delivered by NI Certified Instructors. Guaranteed-to-Run scheduling ensures your Data Acquisition Using NI-DAQmx and Python training proceeds as planned regardless of enrollment.
How long is lab access provided for the Data Acquisition Using NI-DAQmx and Python Course Overview?
You receive 30 days of cloud-based lab access via Amazon AppStream. This environment features NI-DAQmx 2025 Q3 and CompactDAQ hardware, providing hands-on practice for the Data Acquisition Using NI-DAQmx and Python Course Overview.
What is the rescheduling policy for the Data Acquisition Using NI-DAQmx and Python Course Overview?
Reschedule free if requested over 7 days before the start date. Changes within 7 days incur a 10% fee. Cancellations 15 days prior qualify for full refunds; cancellations within 10 days incur a 50% fee.
What is the format of the exam associated with the Data Acquisition Using NI-DAQmx and Python Course Overview?
The CLAD exam for the Data Acquisition Using NI-DAQmx and Python Course Overview contains 40 multiple-choice questions. You must achieve a 70% passing score within the 1-hour time limit to earn your certification.
How long is the certification valid after completing the Data Acquisition Using NI-DAQmx and Python Course Overview?
The CLAD certification is valid for 2 years. To renew, you must retake the $125 exam. Maintaining active status confirms your expertise in the Data Acquisition Using NI-DAQmx and Python Course Overview.
What post-training support is included with the Data Acquisition Using NI-DAQmx and Python Course Overview?
Koenig provides 30 days of support, including instructor email access, session recordings, and 200+ practice questions. The 100% Happiness Guarantee offers one free retake for the Data Acquisition Using NI-DAQmx and Python Course Overview.
What are the prerequisites for the Data Acquisition Using NI-DAQmx and Python Course Overview?
You need basic Python programming knowledge. No prior NI-DAQmx or LabVIEW experience is required for the Data Acquisition Using NI-DAQmx and Python Course Overview, making it ideal for developers entering PC-based data acquisition.
What are the career benefits of the Data Acquisition Using NI-DAQmx and Python Course Overview?
Certified professionals report a 20% salary increase. With validation roles growing 18% in 2023, test engineers using the Data Acquisition Using NI-DAQmx and Python Course Overview average $95,000 annually in the United States.
Why choose instructor-led training for the Data Acquisition Using NI-DAQmx and Python Course Overview?
Instructor-led training provides expert guidance and hands-on labs, achieving 92% customer satisfaction. This format accelerates mastery of the Data Acquisition Using NI-DAQmx and Python Course Overview compared to self-study, which lacks real-time support.

COURSES RELATED TO Data Acquisition Using NI-DAQmx and Python Course Overview

Beginner
Intermediate
This course focuses on using NI-DAQmx as the driver layer accessed by Python via the nidaqmx-python library.
This course does not lead to a formal NI certification as it is a driver-based programming skill rather than a LabVIEW-based certification track.
Completion of this course may contribute to internal professional development goals related to automated test and measurement.
Advanced
This course focuses on using NI-DAQmx as the driver layer accessed by Python via the nidaqmx-python library.
This course does not lead to a formal NI certification as it is a driver-based programming skill rather than a LabVIEW-based certification track.
Completion of this course may contribute to internal professional development goals related to automated test and measurement.
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