Relational Databases: Summary

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Page 2 of 4

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.

Introduction to Database Systems

Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.

Data Modeling: Concepts and Applications

Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.

Database Systems: Overview

Introduces database systems, covering DBMS ecosystem, relational model, course overview, prerequisites, course outline, grading scheme, projects, and teaching methods.

Introduction to Database Systems

Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.

Database Management Systems: Overview

Covers database management systems principles, design, implementation, and storage options like flat CSV files.

Query Operators: Joins and Query Processing Techniques

Discusses advanced query operators, focusing on join techniques and their processing methods in relational databases.

Querying a database: the SQL language

Covers the SQL language for interacting with databases through structured queries, including selecting, filtering, aggregating, and sorting data.

Learning Models over Relational Databases

Explores learning models over relational databases, emphasizing prediction quality and the importance of structure-aware learning.

NoSQL Databases: Overview

Explores the world of NoSQL databases and MongoDB's key features.