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CIND 110 Data Organization for Data Analysts

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This CIND 110 Data Organization for Data Analysts course provides a foundation for data management for data analysts. Topics include database architecture, query generation, the query itself, data warehouse, relational database system, NoSQL, and data management professionals' responsibilities.

This course provides knowledge transfer of big data and data analysis, advanced critical thinking, database skills in research applications, and report writing.

Find out how:

  • Use a practical procedural language to define, create, manage, share, and secure structured databases.
  • Reverse engineer the database to create valid logical models and portable snapshots.
  • Work with the relational model's main components, its entity / referential integrity constraints and update operations.
  • Use XPATH and XQuery expressions to retrieve data from document-oriented data and databases (such as XML and JSON).
  • Distinguish between databases and information retrieval systems.
  • Use statistical techniques to index, search, and extract information from a large number of unstructured documents.
  • Use data mining technique (like as association rules, sequential patterns, and classification trees) to analyze big data.

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