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Databricks is a unified analytics platform that is designed to help data teams solve complex problems faster and with greater ease. The platform provides a collaborative workspace for data scientists, engineers, and analysts to work together on big data projects. Databricks has become a popular choice for companies looking to streamline their data workflows and leverage machine learning and artificial intelligence technologies. To ensure that data professionals have the necessary skills to work with the platform, Databricks offers a certification program. One of the certifications offered by Databricks is the Databricks Certified Professional Data Scientist.
Reference: https://credentials.databricks.com/group/227970
Candidates who pass the DCPDS exam receive a certificate of completion and are recognized as experts in using Databricks to solve data problems. Databricks Certified Professional Data Scientist Exam certification is a valuable addition to a data scientist's resume and can help to differentiate them from other candidates in a competitive job market.
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Databricks Databricks-Certified-Professional-Data-Scientist Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Responsible AI and Production ML | - Model governance
|
| Model Evaluation and Optimization | - Hyperparameter tuning
|
| Machine Learning with Databricks | - Model deployment
|
| Data Preparation and Feature Engineering | - Feature engineering with Spark
|
| Machine Learning Fundamentals | - Unsupervised Learning
|
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