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Oracle Data Science Certification Training

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Reviews 4.9 (4.6k+)
Rated 4.7 out of 5

Learners : 1080

Duration :  25 Days

About Course

🌐 Oracle Data Science Online Training

Oracle Data Science is a cloud-based platform within Oracle Cloud Infrastructure (OCI) provided by Oracle that enables data scientists to build, train, deploy, and manage machine learning models at scale. It offers tools for data exploration, model development, and MLOps in a collaborative environment. Professionals skilled in Oracle Data Science are in high demand for roles in data science, AI engineering, and cloud analytics.

This course provides in-depth, hands-on experience in data analysis, machine learning, model deployment, and working with real-time data science projects using Oracle tools.

🚀 Its Core Capabilities Include:

Data Exploration & Analysis:
Analyze and visualize data using notebooks and tools.
Machine Learning Models:
Build, train, and evaluate ML models.
MLOps:
Manage model lifecycle, versioning, and deployment.
AutoML:
Automate model building and selection.
Model Deployment:
Deploy models as APIs for real-time usage.
Collaboration:
Work with teams using shared environments.
Cloud Integration:
Integrate with OCI services for scalability.

📍 Bonus: Certification Tracks

  • Oracle Data Science Associate Certification
  • Oracle Data Science Developer Certification
  • Oracle Data Science Application Developer Certification
  • Oracle Data Science Expert Certification (Viswa Online Trainings)

Oracle Data Science Training Course Syllabus

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Oracle Data Science Course Key Features

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Oracle Data Science Online Training FAQ'S

What is Oracle Data Science?
  • Oracle Data Science is a cloud platform used to build and deploy machine learning models. It provides tools for data analysis, modeling, and collaboration.
What is MLOps in Oracle Data Science?
  • MLOps manages the lifecycle of machine learning models from development to deployment. It ensures models are monitored and updated efficiently.

What is AutoML?
  • AutoML automates the process of selecting and training machine learning models. It helps users build models quickly without deep expertise.
How are models deployed in Oracle Data Science?
  • Models are deployed as APIs or endpoints for real-time usage. This allows applications to use predictions from trained models.

What are the benefits of Oracle Data Science?
  • It provides scalable ML solutions, easy deployment, and integration with cloud services. It also supports collaboration and automation.

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