What you would learn in MySQL from basic to advance : Level Up Masterclass 2022 course?
This course offers a thorough understanding of the primary language used in the relational database: Structured Query Language (SQL). Topics covered include Entity-Relationship modeling and using the Relational Model, the SQL language that includes data retrieval statements, the manipulation of data, and declaration of data statements. Every interactive reading problem requires using "live" SQL. Homework is completed with databases that run in MySQL that students install on their computers. Students create an authentic database project with MySQL in the course.
The prerequisites are: This course is designed for database professionals or students who wish to achieve a beginner to advanced proficiency in the Structured Query Language (SQL). It is a prerequisite for basic computer literacy, including.
Reasons for the course: This course will provide an adequate foundation for SQL for Computer Science and Informatics majors who intend to pursue classes in data science or databases. Knowledge of this subject is essential for anyone who plans to pursue software development and engineering. It's also a course for students not part of that CS major who works or is planning to work with relational databases or data science. This includes students studying business, sociology, physical and biological sciences, and more.
Learn structured query language (SQL) to an intermediate/advanced level.
Learn to write data retrieval queries and then evaluate the results set.
Write SQL statements that alter existing data.
Learn to write SQL statements that generate database objects.
Learn about the structure and layout of relational databases.
Know the importance and the significant problems of database security and maintaining data integrity.
Learn SQL fundamentals from scratch.
Learn to understand the SELECT clause, never before.
Create WHERE clauses to create conditions to answer complex queries.
Group similar data using GROUP BY clause like a master.
Filter groups using the HAVING clauses when jigging.
Join tables in a straightforward method for big data tables that have thousands of records.
Create the Subqueries in confidence and dominate your surroundings.
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