SQL and No SQL for Data Science
Published 9/2026
Created by Pitchaimanickam B
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 20 Lectures ( 2h 48m ) | Size: 2.1 GB
SQL commands, No SQL
What you’ll learn
Understand the fundamental concepts of SQL and NoSQL databases and perform basic database operations.
Apply SQL functions and queries to manipulate, retrieve, and analyze data efficiently.
Implement joins and subqueries to retrieve and integrate data from multiple tables.
Apply NoSQL concepts to manage and process data in non-relational databases.
Requirements
Nil
Description
This course provides a comprehensive introduction toSQL and NoSQL databases, with a focus on the fundamental concepts and practical skills required to manage, retrieve, and process data efficiently. It is designed for students and beginners who want to develop a strong foundation in database technologies and understand their applications in modern data-driven environments.
The course begins withSQL fundamentals, covering relational database concepts, tables, records, fields, keys, constraints, and basic SQL commands. Learners will understand how to create databases and tables, insert and modify data, retrieve records, and perform essential data manipulation operations.
The second module focuses onSQL functions, including aggregate, string, numeric, date, and other commonly used functions. Students will learn how functions can be combined with SQL queries to perform calculations, transform data, and generate meaningful information from databases.
The course then introducesjoins and subqueries, enabling learners to retrieve and analyze data distributed across multiple tables. Different types of joins, such as INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN, will be discussed along with practical examples of subqueries.
The fourth module introducesNoSQL fundamentals, explaining the differences between relational and non-relational databases. Students will explore NoSQL data models, document-based databases, key-value stores, column-oriented databases, and graph databases, along with their advantages and applications.
By the end of this course, learners will be able to confidently work with SQL and NoSQL databases and select appropriate database techniques for different data requirements.
Who this course is for
Beginner SQL and No Sql Developer
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