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Data

Management

A Data Management course typically teaches how data is collected, stored, organized, protected, and used effectively. It’s a core subject in fields like IT, business analytics, and computer science.

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Course Detail

Data management is the practice of handling data throughout its lifecycle—from creation to storage, usage, and eventual deletion—while ensuring accuracy, security, and accessibility..

Course Features

  • Data Fundamentals
  • Databases
  • Database Management
  • Lexical Sense

Lexsense

Semantic Search

Lexsense is a research-driven platform focused on helping computers understand language, meaning, and context. It works at the intersection of AI, linguistics, and data science, especially in fields like NLP, semantic search, and machine learning. 

  • 20 hours on-demand video
  • Full Lifetime Access
  • Access on Mobile and TV
  • Certificate of Completion

Course Content

11 sections • 28 lecture • 19h 33m total length

Covers the basic concepts of data, including types, structures, and how data is generated and used. Focuses on data quality, accuracy, and the lifecycle of data from creation to deletion.

Organized collections of data stored electronically for easy access, retrieval, and management. They use tables, relationships, and queries to efficiently handle large amounts of information.

Involves controlling and maintaining databases to ensure data is secure, consistent, and accessible. Uses systems and tools to manage storage, backup, performance, and user access.

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The process of designing how data is structured and related within a system. Uses diagrams and schemas to represent data entities and their relationships clearly.

Refers to storing large volumes of historical data from multiple sources in a central repository. Used for reporting, analysis, and decision-making rather than daily operations.

A framework of policies and standards to ensure proper data management across an organization.
Focuses on data quality, security, compliance, and accountability.

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