Data Academy Subscription > Data with R > Data Comparison Methods
Course Description
Unsupervised learning is concerned with analyzing the structure of data to draw useful conclusions. In this course, you will examine methods that enable us to use the structure of data to compare datasets. You will create hashes of data and image signatures. You will compare image datasets, perform analysis to isolate latent variables, and compare surveys and other datasets using factor analysis.
Requirements
  • This course assumes prior programming knowledge in R and a basic knowledge of mathematical concepts, including exponents, square roots, means, and medians.
Instructor:
Bert Gollnick
Bert Gollnick is a Diploma in Aerospace Engineering and has pursued MSc in Economics. He is also a Data Scientist and has 10 years of experience in R. He is also an online trainer for Data Science and Machine Learning.