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Database Fundamentals for Data Science

Database Fundamentals for Data Science

Data is the foundation of modern data science, and databases play a crucial role in storing, managing, and retrieving this data efficiently. Database Fundamentals for Data Science is a comprehensive course designed to equip learners with essential database management skills, focusing on SQL (Structured Query Language), NoSQL databases, and database integration with Python.

$97.25

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Expiry period 5 Months
Made in English
Last updated at Thu Jun 2025
Level
Beginner
Total lectures 0
Total quizzes 0
Total duration 0 Hours
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Short description Data is the foundation of modern data science, and databases play a crucial role in storing, managing, and retrieving this data efficiently. Database Fundamentals for Data Science is a comprehensive course designed to equip learners with essential database management skills, focusing on SQL (Structured Query Language), NoSQL databases, and database integration with Python.
Outcomes
  • Understand the role and structure of databases in data science workflows
  • Create and manage relational databases and tables
  • Learn and apply SQL to manipulate and query data
  • Understand data types, keys, normalization, and indexing
  • Connect databases to analytics tools for data extraction
  • Prepare databases for use in Python/R data pipelines
  • Interpret and document database schemas effectively
  • Build confidence to work with real-world databases in data projects
Requirements
  • A computer (Windows/macOS/Linux)
  • No prior programming or database experience required
  • A stable internet connection
  • Willingness to explore and work with structured data
  • Software: MySQL or PostgreSQL, DB Browser, or DBeaver (Free tools)