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The Pega Certified Data Scientist (PCDS) 87V1 certification is designed for professionals who want to demonstrate their expertise in using Pegasystems software solutions to analyze data, build predictive models, and make data-driven decisions. Pega Certified Data Scientist (PCDS) 87V1 certification covers a wide range of topics, including data analysis, data modeling, machine learning, and predictive analytics. It is designed to help professionals develop the skills they need to excel in their careers and make a real impact on their organizations.
To be eligible for the PEGAPCDS87V1 certification exam, candidates must have a solid understanding of data science concepts and have experience working with Pega's software. PEGAPCDS87V1 exam is targeted towards data scientists, business analysts, and IT professionals who work with Pega's software and want to enhance their skills and knowledge.
Reference: https://academy.pega.com/exam/pega-certified-data-scientist-2
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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |
| Topic 2: Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
| Topic 3: Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Topic 4: Pega Decisioning and AI Integration | - Adaptive models and decision strategies - Embedding predictive analytics in Pega applications |
| Topic 5: Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |








