About This Course
For years, high-end computer systems have relied on sophisticated data mining techniques to detect credit card fraud, predict weather patterns, recommend online content, assist in solving crimes, and guide business decisions. Recent innovations in machine learning, statistics and programming have made these tools more accurate, easier to use and more widely available.
In this course, you’ll become fluent in data mining and get an introduction to the latest predictive analytics technologies. You’ll learn key techniques and gain hands-on experience using modern tools, code libraries and programming resources to analyze large datasets. You’ll also practice applying machine learning to generate predictions and actionable recommendations that can enhance business performance and strategic decision-making.
What You’ll Learn
Essential data mining and machine learning concepts
Regression, cluster, classification and decision tree analysis methods
Unsupervised and supervised learning models
Advanced R programming skills
Get Hands-On Experience
Use powerful desktop and web-based analytics tools
Complete data mining and predictive analytics projects by writing R code using tidyverse, caret, cluster and other packages
