Data Mining & Predictive Analytics Essentials

About this Course


For decades, high-end computer systems have used sophisticated data mining techniques to identify credit fraud, predict the weather, make online recommendations, help solve crimes and support organizational decision making. In recent years, major innovations in machine learning, statistics and programming languages have made these data mining and predictive analytics tools more accurate, easier to configure and more widely accessible.

In this course, you’ll gain fluency in data mining and get an initial introduction to the latest predictive analytics technologies. You’ll learn essential techniques and gain a fundamental understanding of how to use cutting-edge tools, code modules, and programming libraries and resources to mine large data sets. You'll practice using machine learning to make predictions and recommendations that can improve business outcomes and impact strategic decisions.

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

Program Overview

Complete the courses listed below to earn the certificate. You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.