Simplified SQL Data Science for Data Scientist - AIML TM

The Introduction to SQL for Data Science - Data Scientist™ course is designed to equip students with essential SQL skills for managing and analyzing data in the context of data science. Whether you're new to SQL or looking to strengthen your data analysis skills, this course will guide you through the fundamentals and advanced techniques necessary to query and manipulate data effectively. Starting with basic SQL concepts, you'll learn how to write queries, retrieve information from databases, and work with large datasets.

As you progress, the course covers more advanced SQL topics, including joins, subqueries, window functions, and query optimization. By the end, you'll understand how SQL integrates with data science workflows, enabling you to handle real-world data problems confidently. Ideal for aspiring data scientists, analysts, and professionals looking to add SQL to their skill set, this course will provide a solid foundation in data management and analysis with hands-on practice using SQL.

Data Science Session:- Understand the foundational concepts and workflow of data science. Data Science Session 2:- Dive deeper into key data science techniques and processes. Data Science vs Traditional Analysis:- Learn the differences between data science methods and traditional data analysis.

Data Scientist:- Explore the role, responsibilities, and skills required to be a successful data scientist. Introduction to SQL for Data Science:- Get familiar with SQL and its importance in data science for managing and querying data. SQL Queries for Data Science:- Learn how to write basic SQL queries to manipulate and retrieve data.