This course is an introductory course on data analytics and its application in IoT. It covers three major topics: 1) Primary data analytics theory including classification, regression, principal component analysis, etc.; 2) Hands on data analytics experiences with NumPy, Pandas, Matplotlib, & Scikit-learn packages; and 3) Applications in IOT (with a special example on buildings energy systems), in which comprehensive experiments with real data will be included. In this course, students will learn systematic knowledge on data analytics and Python. They will also gain solid hands-on experiences in using Python to analyze IOT data.

CILO-1: Apply data analytics methods to solve real-world problems in various fields, particularly in the areas of internet of things. CILO-2: Identify, formulate, and solve data analysis problems in the field of electrical engineering using machine learning theory. CILO-3: Apply machine learning to solve real-world data analysis problems using modern computer programming languages, such as Python. CILO-4: Effectively communicate through clear and concise language and visual aids to describe and evaluate data mining problems in internet of things systems.