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Pegasystems is a global leader in providing software solutions for customer engagement and operational excellence. One of their most sought-after certifications is the Pega Certified Data Scientist (PCDS) 80V1 2020. It is a comprehensive exam that tests the candidate's knowledge and skills in data science and its application in the Pega platform.
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Pegasystems is a global software company that specializes in customer engagement and operational excellence. Their products and services are utilized by businesses across various industries, including healthcare, finance, and insurance. One of the company's core offerings is the Pega Platform, a low-code application development platform that enables organizations to build and deploy enterprise applications quickly and efficiently.
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The Pegasystems PEGAPCDS80V1_2020 exam is intended for Business Analysts, Data Analysts, Data Scientists, and other IT professionals who are responsible for developing large-scale data solutions using Pega Platform. They must have the knowledge and experience to design, develop, and deploy machine learning models and predictive analytics. PEGAPCDS80V1_2020 exam will test the candidates' proficiency in statistical modeling, data mining, machine learning algorithms, and data manipulation techniques.
Reference: https://academy.pega.com/exam/pega-certified-data-scientist
To prepare for the PEGAPCDS80V1_2020 Certification Exam, Pegasystems provides a variety of resources, including training courses, study guides, and practice exams. These resources are designed to help participants gain a deep understanding of the exam topics and feel confident in their abilities to pass the exam.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Decision Strategies | 26% | - Building and simulating decision strategies - Understanding decisioning logic - Arbitrating and prioritizing customer actions |
| Topic 2: Text Analytics | 10% | - Use cases such as email routing and interaction analysis - Applying text analytics in decision strategies - Text analytics concepts and NLP basics |
| Topic 3: Predictive Analytics | 22% | - Building and evaluating predictive models - Using Prediction Studio - Fundamentals of predictive models - Integrating third-party predictive models |
| Topic 4: Next-Best-Action | 8% | - Introduction to Pega for data scientists - Next-Best-Action paradigm concepts |
| Topic 5: Adaptive Analytics | 34% | - Real-time adaptive learning - Adaptive model fundamentals - Monitoring and tuning adaptive models - Quantifying business impact of machine learning |
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Certified Pega Data Scientist 88V1
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