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What courses are eligible for CAP certification?

Unfinished: [[TODO: confirm which of these courses are currently on sale, and link each one to its catalogue page]]

LearnStatistics for Operations Research and the Management Sciences (INFORMS) chose LearnStatistics as a Recognized Analytics Education Provider that supports the Certified Analytics Professional (CAP®) program, so your course credits are recognized in their certification programs.

The following courses are eligible for transfer into a INFORMS Certified Analytics Professional (CAP®) program:

  • Anomaly Detection
  • Bayesian Regression Modeling via MCMC Techniques
  • Bayesian Statistics in R
  • Cluster Analysis
  • Customer Analytics in R
  • Discrete Choice Modeling and Conjoint Analysis
  • Financial Risk Modeling
  • Forecasting Analytics
  • Interactive Data Visualization
  • Introduction to Bayesian Computing and Techniques
  • Introduction to Bayesian Statistics
  • Introduction to Design of Experiments
  • Introduction to Network Analysis
  • Logistic Regression
  • Mapping in R
  • Matrix Algebra
  • Modeling Count Data
  • Modeling in R
  • Natural Language Processing
  • Natural Language Processing Using NLTK
  • Optimization – Linear Programming
  • Predictive Analytics 1 – Machine Learning Tools
  • Predictive Analytics 1 – Machine Learning Tools – with Python
  • Predictive Analytics 1 – Machine Learning Tools – with R
  • Predictive Analytics 2 – Neural Nets and Regression
  • Predictive Analytics 2 – Neural Nets and Regression – with R
  • Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules
  • Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules – with R
  • Python for Analytics
  • R Programming – Intermediate
  • R Programming – Introduction 1
  • R Programming – Introduction 2
  • Regression Analysis
  • Risk Simulation and Queuing
  • Spatial Statistics for GIS – Using R
  • SQL – Introduction to Database Queries
  • Survival Analysis
  • Text Mining Using Python
  • Visualization in R with ggplot2

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