SQL for Data Science

Course Summary

This course provides a solid foundation in SQL (Structured Query Language) for data science applications. Participants will learn how to store, retrieve, manipulate, and analyze structured data using SQL. The course covers query writing, database design, data aggregation, joins, and complex queries, ensuring participants can work efficiently with relational databases for data-driven decision-making.

Key Learning Outcomes

Master SQL queries for efficient data extraction, filtering, and aggregation.
Learn to work with relational databases and optimize queries.
Perform complex data manipulations including joins, subqueries, and window functions.
Understand how SQL integrates with data science workflows for big data analytics.

Target Audience

Researchers, data analysts, database administrators, and professionals dealing with large datasets.

Prerequisites

Basic understanding of databases is helpful but not required.

Course Duration & Format

3 days (Online) – Includes interactive SQL exercises, database case studies, and real-world applications.

Instructor(s)

Database experts and data scientists.

Course Fee & Registration