Predictive Analytics - Online Courses

Study with the authors of Data Mining for Business Analytics!

The Predictive Analytics Program at Statistics.com was created by the authors of Data Mining for Business Analytics, and is taught by them.  This book, a Wiley best-seller, is used at hundreds of universities around the world, and forms the core of the Statistics.com predictive analytics curriculum.

 

You'll cover the popular machine-learning and statistical algorithms for predicting labeled data:

  • Trees
  • K-nearest-neighbors
  • Neural nets
  • Naive Bayes
  • Linear and logistic regression

You'll also cover preparatory and exploratory methods:

  • Visualization
  • Dimension reduction (principal components)

You'll also learn about the key unsupervised methods for use with unlabeled data:

  • Clustering
  • Market basket analysis
  • Recommender systems

The program includes work with numerous real data projects, ending with a case study that combines multiple methods.  Here's an example of predictive analytics at work at Pandora, the music-streaming service (excerpt from Data Mining for Business Analytics, by Shmueli, Bruce and Patel, who are also the creators of these courses).


Choose the course sequence for your tool of choice:  R, Python, or Analytic Solver Data Mining (an Excel-addin, previously XLMiner).


Predictive Analytics Using Analytic Solver Data Mining (previously XLMiner) 

  1. Predictive Analytics 1:  Machine Learning Tools 
  2. Predictive Analytics 2:  Neural Nets and Regression
  3. Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules

Predictive Analytics Using R:

  1. Predictive Analytics 1:  Machine Learning Tools - with R
  2. Predictive Analytics 2:  Neural Nets and Regression - with R
  3. Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules - with R

Predictive Analytics Using Python:

  1. Predictive Analytics 1:  Machine Learning Tools - with Python
  2. Predictive Analytics 2:  Neural Nets and Regression - with Python
  3. Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules - with Python

 

 

 

 

 

 

 

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