
This course includes our updated coding exercises so you can practice your skills as you learn.
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Explore the differences between dbms, database, and table using a world country state analogy, clarifying how databases contain tables within a dbms and why these terms matter for the course.
Explain what a dbms is, a system for managing a database, and note its purpose alongside examples like MySQL, Oracle, PostgreSQL, and SQLite.
Understand that a database is a space on the hard disk. Recognize that the space's purpose is to store tables, and note the distinctions between database, dbms, and table.
Understand database management systems, databases, and tables, and how data categories—numbers, alphabets, special characters, audio, video, image, and documents—are stored. Use MySQL, the most popular software, in this course.
SQL, or structured query language, is the language to talk with database management systems such as MySQL. We use MySQL in this course because it is widely used.
Learn how to download and install MySQL, the database management system, on Windows and Mac, without coding, as foundational setup.
Download and install mysql community server and mysql workbench on mac, choose arm 64 bit for m1/m2/m3 and 8664 bit for intel, then verify installation by running show databases.
Explore the e-files for each section, including dot sql and pdf documents, diagrams, and nodes, to copy code, revise concepts, and troubleshoot syntax in MySQL workbench.
Master single line and multi-line comments in SQL, learning syntax, how comments hide lines in the query area, and observe run outputs with show databases and create database commands.
Understand how user defined names differ from predefined names in SQL, and identify which identifiers, such as database, table, and column names, are defined by users with angle brackets.
Learn the first rule for user defined names: use numbers from zero to infinity, letters, underscores, and dollar signs, with at least two categories and a max of 64 characters.
Master rule 1: character set and length for user defined names in SQL. Use letters, underscore, and dollar sign; allow numbers only when combined, up to 64 characters.
Explore case sensitivity and case insensitivity in SQL, noting that SQL is case insensitive and that predefined and user defined names share this behavior.
Discover how case insensitivity in SQL affects database names, which must be unique regardless of letter case, with practical examples of upper and lower case variations.
Learn rule four: using backticks to enclose identifiers lets you use hyphens, symbols, and reserved words in SQL names, demonstrated with create database and show examples.
Apply rule four by using backticks to make the query valid, even with numbers and reserved words, and see how the query executes successfully.
Explore the E files repository with dot SQL and PDF files storing queries and diagrams. Use these attached files to revise concepts, copy code, and follow the MySQL setup.
Learn how syntax operates as a set of rules, with examples showing lowercase only, uppercase only, mixed case, and line-based capitalization rules for two- and three-word lines.
Discover what SQL syntax means and why exact spelling, spacing, and semicolons matter. Practice with common error examples and the rule to follow syntax exactly, one character at a time.
Access the e-files bundle to save and review dot sql and pdf files, diagrams, and MySQL setup, enabling quick revision, copy-pasteable queries, and clear concept understanding.
Explore how to use SQL to create databases, tables, and data using MySQL as the DBMS, and master the syntax for create database queries.
Learn how to create a database with the SQL create database syntax, end with a semicolon, and keep database names unique to store tables on the hard disk.
Learn how the use statement selects a database, such as grapes, to store new tables. The video covers creating databases, tables, and verifying them via show databases and schemas.
Learn how executing the use line once selects the database in MySQL, letting you create multiple tables without repeating it, once your workspace is open.
Explore e-files that bundle dot sql and pdf resources to save and revise queries, diagrams, and MySQL setup notes, with attached code you can copy, paste, and debug.
Create tables in MySQL using the create table syntax, define int columns, and specify the target database with use, as shown by king, spider, and circus examples.
Learn to delete tables with the drop command, specifying the database and table (for example graves.king); the lecture demonstrates dropping king, circus, and spider tables and confirms the results.
Learn to rename a table in the grapes database using the rename syntax, specifying old and new names. Rename table one to hat and table two to mango.
Learn how to use alter table to add, rename, modify, and delete columns in an existing table, with practical syntax and real-world examples in SQL databases.
Explore the insert concept in SQL, learning how to insert data into a table and how this contrasts with creating a table and its columns.
Learn how to insert data into a table using insert into values with and without specifying column names, demonstrated on an Apple table in the grapes database.
Learn how to insert data in SQL by specifying only the columns you need, for single or multiple rows, using insert into with or without column names.
Learn to view data in a table using the select statement, handling two scenarios: select specific columns or all columns with a star, using from and table syntax.
Learn how inserting data into only selected columns leaves the other columns null, and understand what null means in the result when using specific column data in SQL inserts.
learn how the distinct keyword enforces uniqueness on a single column or on column combinations, showing how duplicates are filtered in output but stored in the table using disco_one.
Learn how the SQL limit keyword, a reserved word, restricts the number of rows returned after the table name and does not delete data.
Explore how limit and offset control which rows appear in a SQL query, starting the result set from a chosen row and returning a fixed number of rows.
Learn the truncate data concept and its syntax, truncate table table_name, to delete all data, then compare it with delete from table_name, with the difference explained in the next video.
Explore the key difference between delete and truncate in MySQL: delete removes rows one by one, while truncate clears all data at once, highlighting performance and use cases.
Explore the e-files to save dot SQL and PDF files of queries and diagrams, then revise concepts with the attached SQL and PDF files and a MySQL setup.
Learn to run queries in the query area: execute all lines at once or run a single line using Ctrl+Enter (Windows) or Command+Enter (Mac).
Explore e-files with dot SQL and PDF notes, diagrams, and saved queries to revise concepts and copy code to avoid syntax errors in MySQL setup.
Unlock the power of SQL and transform your data skills with our comprehensive course designed for learners of all levels. Whether you're a fresher or looking to refine your SQL expertise, this course offers a complete learning experience to help you master the language and become a proficient SQL professional.
I won't bore you with unnecessary details. Check the below features and course content, then decide for yourself.
Course Features:
Videos: Engaging video tutorials that break down complex concepts into easy-to-understand lessons.
Coding Exercises: Practice writing and optimizing queries, using commands, clauses, and techniques learned throughout the course.
Quizzes: Engaging quizzes designed to test your knowledge and reinforce what you've learned.
Assignments: Assignments helps you to get clarity on concepts and improves applying your learning on problems.
Practice Tests: Timed practice tests with questions of all difficulty levels to simulate exam conditions and build confidence.
E-Files: Included downloadable SQL files and theory concept files that are used in the course as a handy reference.
Course Content:
Database Management: Develop and manage databases, tables, views, and indexes to effectively organize and enhance the performance of your data in relational databases.
SQL Commands: Master essential SQL commands such as INSERT, SELECT, UPDATE, DELETE, GRANT, and TRANSACTION for comprehensive data management.
SQL Clauses: Utilize clauses like WHERE, ORDER BY, GROUP BY, HAVING, and WITH (CTEs) to filter, sort, group, and manage complex queries effectively.
Data Types: Understand and apply various data types including INT, FLOAT, VARCHAR, DATE, TIME, DATETIME, and BLOB for accurate data storage and manipulation.
Predefined Functions: Leverage functions such as COUNT, SUM, AVG, MIN, MAX, IFNULL, and COALESCE for efficient data aggregation and querying.
SQL Operators: Utilize arithmetic, comparison, and logical operators to perform calculations and logical evaluations in your SQL queries.
Database Constraints: Apply constraints like CHECK, NOT NULL, DEFAULT, and AUTO_INCREMENT to maintain data integrity and automate data management.
Keys: Learn about different keys, including PRIMARY KEY, FOREIGN KEY, UNIQUE, Composite Key, Candidate Key, and Alternate Key, to establish and enforce table relationships.
Aliases: Use aliases to rename columns and tables, enhancing query readability and making results more understandable.
Joins: Master various join techniques such as INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, CROSS JOIN, SELF JOIN, UNION, and UNION ALL to combine and retrieve related data from multiple tables.
Wildcards: Implement pattern matching with wildcards (%) and (_) in the LIKE operator to perform detailed searches within your data.
Subqueries: Utilize operators like ANY, ALL, SOME, EXISTS, and NOT EXISTS to perform nested queries and refine your data retrieval processes.
SQL Injection: Understand security vulnerabilities associated with SQL injection and learn protective measures to ensure safe database operations.
Advanced SQL Techniques: Follow best practices to write efficient queries and apply advanced techniques to solve complex analytical problems and gain business insights.
Career Preparation: Prepare for diverse roles such as SQL Developer, Business Analyst, Data Analyst, Data Engineer, Data Scientist, ETL Developer, and Data Architect.
By the end of this course, you'll have the skills and confidence to work with SQL databases, perform complex data analysis, and ace job interviews. Enroll now and start your journey to becoming an SQL expert!
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