Comprehensive SQL Course For Data Professionals

Welcome! I am looking forward to helping you to become proficient in SQL, one of the fundamental skills required to become a data professional. SQL is one of the important skill required to become data engineer, data analyst, data scientist, web developer, application developer etc. So, if you aspire to be a competent data professional, this is course is for you! Course Approach: This is a **comprehensive hands-on course with 120+ SQL coding exercises and a Real World Project of building a database** for one of the popular sporting tournaments, and writing all the SQL statements required for the tournament website. I have combined my experience working with SQL in the industry for 25 years with teaching on Udemy for 160,000 students to create this comprehensive curriculum. Throughout the course, I provide guidance on using best practices for writing SQL statements and also take you through real world examples. I value your time as much as I do mine. So, I have designed this SQL course to be fast-paced and to the point. Also, the course has been taught with simple English and no jargons. I start the course from basics and progress to complex topics, and by the end of the course you will be proficient in SQL. Comprehensive Curriculum: - Beginner Level Topic: - Introduction to Databases and SQL - Basics of SQL statements - Querying Data - Filtering Data - Intermediate Level Topic: - Simple SQL functions - Date Functions - Conditional Expressions & Functions - Aggregate Functions - Grouping Data - SQL Joins - SQL Constraints - Primary & Foreign Keys and Relationships Advanced Level Topic: - Database Design & Entity Relationship Diagrams - Subqueries - Common Table Expressions (CTEs) - Views - Window/ Analytical Functions Project: - Requirements gathering & Database Design - Writing SQL Queries for a Website ANSI SQL: This course follows the ANSI standard for SQL. So, once you complete the course, you will be able to with with SQL on all major databases such as MySQL, PostgreSQL, SQLite, Oracle, SQL Server etc, and also with any big data and parallel processing engines such as Spark SQL, Hive SQL, Snowflake, Google BigQuery, Azure Synapse etc. Course Outcome: Once you have completed the course including all the SQL coding exercises and the project, I genuinely believe that you will be in a position to start working in a real world data project using SQL.