Analytics With IoT Data
16120
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Analytics With IoT Data

OBJECTIVES

The main objective of this training program is to provide the participants with a comprehensive understanding of data analytics and its applications in various industries. The program will cover both theoretical concepts and practical applications of data analytics, including data processing, data visualization, predictive modeling, and machine learning.

OUTCOMES
  • Understand the basic concepts of data analytics and its applications.
  • Process and analyze data using various tools and techniques using ThingWorx.
  • Create data visualizations to communicate insights and findings effectively with ThingWorx.
  • Build predictive models using machine learning algorithms.
  • Apply data analytics techniques to real-world problems in different industries with ThingWorx.
SCOPE
  • Thingworx Analytics Developer
  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Predictive Modeler
  • Data Engineer
PROJECTS
  • Predictive Modelling for Machines
  • Prescriptive Modeling
  • Analyzing sales data to identify trends and patterns
  • Building a predictive model to forecast customer churn
  • Creating a data visualization dashboard to monitor social media sentiment
  • Developing a recommendation engine using collaborative filtering algorithms

Building a fraud detection system using machine learning algorithms