New York, 9-11 Dec 2019

3 day Masterclass

Predictive Analytics with R

Predictive and Prescriptive Analytics with R Exhaustive Jube H2O Deep Learning

Real World Use Cases without the Math

A training course to implement analytical techniques in a real business environment cutting through the academic theory where possible to get straight to outcomes. Each case study is based on the real-world experience of the trainer and Jube.

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Real-world case studies based on the experience of the trainer and the Jube platform

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Data analysis, summary statistics, forecasting as well as predictive analytics using regression, probability, decision trees and neural networks

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Tool for the automated creation of Regression and Neural Network Topology

About Predictive and Prescriptive Analytics with r, exhaustive and h20

Big Data and Predictive Analytics are seeing explosive growth. There is a shortfall of individuals who understand these concepts. Not having these skills in any industry which aggregates data leads to an enormous competitive disadvantage.

This course will develop your skills in data analysis, summary statistics, forecasting as well as predictive analytics using regression, probability, decision trees and neural networks (including Deep Learning). 


book today saving USD $355

In just 3 days you will:

  • Understand Predictive Analytics and be able to communicate data and your data manipulation ideas in a commonly understood manner
  • Analyze using summary statistics and be able to apply techniques to describe data using Palisade Statools
  • Create your first usable models with Linear and Logistic Regression using Palisade StatTools
  • Make sense of your subjective judgment using probability, likelihood and decision trees using Palisade PrecisionTree
  • Design Bayesian network models applying techniques to create Causes and Consequence models using Norsys Netica
  • Free Exhaustive Licence worth $800 for Course Participants

Meet your instructor

Richard Churchman teaching Predictive Analytics with R for Terrapinn Training

Richard Churchman is Managing Partner at where he is responsible for developing a proprietary predictive analytics platform that is used in a variety of industries. The platform is predominantly positioned in Funds (Banks, Hedge Funds, Sovereign Wealth Funds and Mutual Funds etc.) to help manage investment portfolios using a blend of Quantitative Methods (Regression and Neural Networks typically) and Qualitative Methods (Expert Judgement and increasingly Augmented Bayesian Networks).

Richard has over 16 years’ experience working with predictive analytics across a variety of industries and so can provide meaningful insight into the application of all techniques taught on the course in other problem industrial domains (e.g. Marketing Churn Models).

Organisations that will benefit:

  • All Forward Thinking Companies
  • Retailers
  • Ecommerce Platforms
  • Software Developers
  • Banks & Financial Services
  • Service providers
  • Business Intelligence Firms
  • Data Companies

Who will attend:

  • C-Suite Executives: CEOs, CFOs, CTOs, COOs, CIOs
  • Heads of Technology
  • Heads of Analytics
  • Heads of Enterprise
  • Marketing Managers
  • Risk Executives
  • Big Data
  • Data Warehousing
  • Business Analysts
  • Data Officers/Scientists/Engineers
  • Database Developers
  • Product Managers
  • Product Designers

Course Agenda

  • Predictive Analytics Introduction.
  • Case Study: Elicitation of Variables.
  • Getting Started with R.
  • Data Structures.
  • Loading, Shaping and Merging Data.
  • Summary Statistics and Basic Plots in R.
  • Case Study: Boston Housing Dataset.
  • Abstraction and Transformations (aka Feature Engineering).
  • Linear Regression.
  • Case Study: Linear Regression.
  • Data Aggregation Techniques with SQL Server.
  • Pretty Plots with ggplot2 and rapid, visual, dataset exploration.
  • Case Study: Describing Fraud using Summary Statistics and Charts.
  • Logistic Regression.
  • Case Study: Fraud Prevention Model Performance Improvement.
  • R Naive Bayesian Classifiers and Laplace Estimator.
  • Case Study: Slate Fray Handwriting Recognition.
  • Splits, Probability and Decision Trees.
  • Case Study: Decision Trees for Credit Risk Analysis.
  • Data Aggregation Techniques with SQL Server.
  • Neural Networks.
  • Case Study: Improving Logistic Regression with a variety of Neural Networks in R.
  • "Convolution" and Grid Image Abstraction Techniques.
  • Case Study: Exploring Classifiers on image Data.
  • Exhaustive Search (Regression and Neural Network).
  • H2O Deep Learning.
  • Monte Carlo Model Search and Prescriptive Analytics.
  • Case Study: Describe the fraud environment.
  • Data Aggregation Techniques with SQL Server

For further information please call: +44 (0)207 092 1045

The earlier you book, the more you save…

Additionally, VAT may be applicable depending on course location.
Before 1 Nov 2019Before 22 Nov 2019After 22 Nov 2019
USD $3,550
Save USD $355
USD $3,730
Save USD $180
USD $3,905
  • “I think is a fantastic course for anybody who is enthusiastic about big data”

    - Pricing Analyst,First National Bank

  • “The course content format the delivery methods examples were very engaging that I developed a special interest in Data secure again”

    - Director, MDSap Tech

  • “An awesome, hands on training that will teach you how to apply these concepts in real life”

    - Research analyst, Kauffman Foundation


We can come to you too! If you have a team of six or more, why not hold a private course? Our experts come to you and the course is tailored to your requirements.

Call +44 (0)20 7092 1045 (United Kingdom)
or (Asia Pacific)
for more details


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