IoT Analytics Course with KNIME Analytics Platform, Austin

- Austin

KNIME is hosting the following one-day course during the KNIME Fall Summit in Austin on November 7, 2018:

IoT Analytics with KNIME Analytics Platform: Methodologies and Algorithms

Sensors, machine-to-machine, and network data will play a leading role in analytics as the Internet of Things becomes a reality. This course introduces the most important methodologies, algorithms and ideas in IoT Analytics. Learn how to access sensor-based data sources, understand the fundamentals of digital signal processing, realize the importance of smart feature engineering, and use advanced methodologies to uncover underlying patterns or concepts contained in IoT data streams. All exercises are based on real-world IoT datasets.

This course is intended for Data Scientists, Signal Processing Engineers, Statisticians, Mathematicians, Computer Scientists, and IT Professionals who need to get started with IoT Analytics and want to make better use of their data.

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Course Content

  • IoT Fundamentals
  • Sensor Data Acquisition
  • Introduction to Digital Signal Processing
  • Feature Engineering
  • Machine Learning Fundamentals
  • Model Training, Assessment, and Comparison
  • Model Deployment
  • IoT Analytics – Applications and Use Cases

Download preliminary agenda.

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