Data Science with MLOps

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Category

Course Duration

3 Months

Last Update

11 Mar 2026

Review

(4.5)

Data Science with MLOps

Course Description

  • Learn end-to-end data science workflows from data processing to model deployment.

  • Build predictive models using machine learning and statistical techniques.

  • Develop advanced AI solutions using deep learning frameworks.

  • Work with Natural Language Processing for intelligent text analysis applications.

  • Deploy scalable machine learning systems using modern MLOps practices and cloud platforms.

Why Data Science with MLOps is in High Demand

 

  • Data-Driven Businesses: Organizations rely on data insights for strategic decisions.

  • AI Adoption: Machine learning powers modern products and digital platforms.

  • Production AI: MLOps enables reliable deployment of machine learning systems.

  • Industry Applications: Data science is used across finance, healthcare, e-commerce, and technology.

Curriculum Summary

  • Database Introduction ,Datatypes,Constraints,Statements in SQL and Software Installation.
  •  Data Query Language (DQL)
  •  Operators
  •  Functions in SQL
  •  JOINS
  •  Data Definition Language (DDL)
  •  Data Manipulation Language (DML)
  •  Transaction Control Language (TCL)
  •  Data Control Language (DCL)
  •  Normalization

Student Reviews

★★★★★ Excellent course with practical projects.

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