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Pegasystems is a leading provider of software for customer engagement and operational excellence. The Pega Certified Data Scientist (PEGAPCDS80V1_2020) certification exam is designed for professionals who want to demonstrate their knowledge and skills in data science using the Pega Platform. The exam covers a range of topics related to data analysis, machine learning, and predictive analytics, among others.
Exam Objectives:
- Understand data preparation and feature engineering
- Know how to use data visualization techniques to communicate findings
- Learn how to build and evaluate predictive models
- Understand model performance evaluation techniques
- Know how to use the Pega Platform to solve real-world data science problems
The PEGAPCDS80V1_2020 exam is intended for professionals who have experience in data science, machine learning, and predictive analytics. Candidates who pass the exam will demonstrate their ability to use the Pega Platform to solve real-world data science problems.
Exam Details:
The PEGAPCDS80V1_2020 exam is delivered online and can be taken from any location. The cost of the exam is $200 USD. Candidates have two hours to complete the exam and must achieve a passing score of 65% or higher. The exam is delivered in a multiple-choice format and consists of 60 questions.
There are no prerequisites for taking the PEGAPCDS80V1_2020 exam, but it is recommended that candidates have experience in data science, machine learning, and predictive analytics. Candidates may also benefit from taking the Pega Platform Data Scientist Essentials course, which covers the topics covered in the exam.
Related Books:
- "Data Science for Business" by Foster Provost and Tom Fawcett
- "Python for Data Science Handbook" by Jake VanderPlas
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
- "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" by Eric Siegel
- "Data Visualization: A Practical Introduction" by Kieran Healy
To pass the PEGAPCDS80V1_2020 exam, candidates should have a solid understanding of data science principles and practices, as well as experience using the Pega Platform to solve real-world data science problems. Additionally, candidates may find it helpful to study the recommended books and take the Pega Platform Data Scientist Essentials course to further develop their knowledge and skills.
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