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The Pega Certified Data Scientist (PCDS) 87V1 exam is intended for individuals who are already familiar with data science and want to work with the Pega platform. PEGAPCDS87V1 exam covers a range of topics such as data modeling, data preparation, data visualization, and machine learning algorithms. Pega Certified Data Scientist (PCDS) 87V1 certification program is designed to help individuals gain a deeper understanding of Pega's data science capabilities, and how to use these tools to solve real-world problems.
Reference: https://academy.pega.com/exam/pega-certified-data-scientist-2
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The PEGAPCDS87V1 exam is a certification provided by Pegasystems for individuals who want to become certified data scientists. PEGAPCDS87V1 exam is designed to test the candidate's ability to analyze data and extract valuable insights from it using Pega's AI and machine learning tools.
Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
| Topic 2: Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Topic 3: Pega Decisioning and AI Integration | - Adaptive models and decision strategies - Embedding predictive analytics in Pega applications |
| Topic 4: Data Preparation | - Data cleansing and transformation - Feature engineering for predictive models |
| Topic 5: Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |







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