Skip to main content

Pega Data Scientist

This course is for data scientist who are responsible for developing and maintaining predictive models.

Gain greater understanding of the key features, capabilities and benefits of the Pega Prediction Studio in this course. Learn how to build predictive models and manage adaptive models that are used in strategies that guide the real-time interactions as well as simulating and analyzing the results of strategies using Visual Business Director.

Prerequisites

  • None

What you'll learn

By the end of this course, you will be able to successfully:

  • Understand the basic components and capabilities of Pega Prediction Studio.
  • Understand how Next-Best-Action improves the customer experience.
  • Create a predictive model and use it in the Next Best Action strategy.
  • Explain how adaptive modeling works and configure adaptive models.
  • Run alternative strategies and compare the results using Visual Business Director.

Course Outline

  1. Course introduction

    • Before you begin
  2. Introducing Pega and Prediction Studio

    • Tell me about the Next-Best-Action paradigm
    • Tell me about 1-to-1 Customer Engagement
    • Tell me about Prediction Studio
  3. Using the decision strategy canvas

    • Tell me what is a strategy canvas
    • Guide me importing proposition to the strategy canvas
  4. Understanding decision strategy execution

    • Tell me how decision strategy execution works
    • Let me understand the decision strategy execution
  5. Predicting customer behaviour

    • Tell me how to predict customer needs
    • Show me how to use adaptive decisioning
    • Challenge me adding an Adaptive Model component
    • Tell me how to retain customers using predictive analytics
    • Show me how to retain customers using predictive analytics
    • Challenge me selecting a proposition based on prediction
  6. Testing strategies with a Monte Carlo data set

    • Tell me about a Monte Carlo data set
    • Show me how to generate data using a Monte Carlo data set
    • Show me how to extend a Monte Carlo data set
    • Show me how to test a strategy using a Monte Carlo data set
    • Let me create a Monte Carlo data set
    • Let me test a strategy with a Monte Carlo data set
  7. Testing strategies en masse with simulations

    • Tell me about decisioning simulations
    • Show me how to execute a simulation
    • Show me how to compare results of simulations
    • Show me how to analyse results of a simulation using reports
    • Let me test a decision strategy using simulations
  8. Building predictive models

    • Tell me about predictive analytics and modeling
    • Tell me about model transparency
    • Tell me how to create predictive models
    • Let me build a predictive model
  9. Using third party predictive models

    • Tell me what PMML is
    • Show me how to use a PMML model in a strategy
    • Let me use a PMML model in a decision strategy
  10. Predicting customer behaviour using real-time data

    • Tell me about adaptive analytics
    • Show me how to create an adaptive model
    • Show me how to use an adaptive model in a strategy
    • Show me how to add an adaptive model for a new proposition
    • Tell me about adaptive model outputs
    • Tell me about smooth propensity
    • Show me adaptive model reports
    • Let me create an adaptive model
    • Let me monitor adaptive models
  11. Utilizing text analytics for email routing

    • Tell me what is text analytics
    • Tell me about email routing
    • Show me how to route email using rule-based topic detection
    • Show me how to route email using model-based topic detection
    • Show me how to train a text categorization models
    • Show me how to route emails based on sentiment
    • Let me use rule-based topic detection
    • Let me detect text sentiment
    • Let me add a model-based topic detection
    • Let me create a text analytics model
  12. Detecting sentiment in Twitter data using text analytics

    • Show me how to predict the sentiment of a Twitter text
    • Show me how to automate work using text analytics
    • Let me create a case based on text analysis on Twitter data
  13. Course summary

    • Before you leave

Choose Your Format

Need help choosing the best format? Learn More.

  • Skill Level

    Intermediate

  • Duration

    2 days

  • Platform Version

    8

Have you completed this course?

Recommended next step:

Practice Exam
CopiedShare
View our Certification FAQ and Policies