SQL Mastery: From Beginner to Expert Database Developer

What you will learn:

Master SQL Joins and Window Functions (RANK, DENSE_RANK, ROW_NUMBER)
Build efficient and complex SQL queries using Common Table Expressions (CTEs)
Design relational databases and implement normalization
Generate insightful reports with SQL to solve business challenges
Develop SQL skills for Data Analytics and Business Intelligence
Proficiently manipulate and migrate data using SQL
Create and manage database objects (tables, views, sequences, users, and roles)
Utilize GROUP BY and HAVING clauses for data aggregation and filtering
Write highly optimized SQL queries
Understand database transaction management

Description

Unlock Your Database Potential:

This intensive SQL bootcamp is your fast track to mastering relational databases and becoming a proficient SQL developer. Designed for all skill levels, from novice to experienced programmer, this comprehensive course offers a practical, step-by-step learning journey. You'll learn the fundamentals of SQL, progress through advanced techniques, and gain hands-on experience with popular database systems like PostgreSQL, MySQL, and more.

Dive into a World of Data:

Our expert instructor guides you through the core concepts of relational databases, equipping you with the skills to write efficient and effective SQL queries. You'll master data retrieval, manipulation, and database object creation, transforming raw data into actionable insights.

What You Will Achieve:

Throughout the course, you will build a strong understanding of SQL syntax, database design principles, and best practices. We cover everything from basic SELECT statements to advanced topics such as Common Table Expressions (CTEs), window functions, and sophisticated query optimization.

Who Should Enroll?

This course is perfect for aspiring data analysts, software developers, database administrators, or anyone seeking to enhance their SQL skills and unlock the power of data. No prior SQL experience is required.

Course Highlights:

Master core SQL concepts
Practical exercises and real-world applications
Expert guidance from an experienced SQL developer
Support for various database systems (PostgreSQL, MySQL, etc.)
Comprehensive curriculum covering all aspects of SQL

Curriculum

Introduction to Relational Databases

This introductory section lays the groundwork for understanding relational databases and SQL. Lectures cover database server concepts, the Entity Relational Model (ER Model) including entities, tables, columns, relationships (primary/foreign keys and cardinality), and an introduction to the pgAdmin tool for PostgreSQL management. Installation instructions for PostgreSQL on Windows and MacOS are also provided.

Basic SELECT Statements and Data Types

Here, you'll learn to construct fundamental SELECT statements. The section covers various literals (numeric, character, string), arithmetic operators and their precedence, aliases, escape sequences, concatenation, and the use of comments. You'll also explore different SQL data types (numeric, character, date/time, boolean) and the CAST function for type conversion.

Querying Data: WHERE, ORDER BY, and Advanced Techniques

This section delves into the power of the WHERE clause for filtering data using comparison, BETWEEN, IN, LIKE, and IS NULL operators. The use of AND, OR, and operator precedence is explained. Sorting data with ORDER BY, and techniques like OFFSET, FETCH, and LIMIT for pagination are covered, alongside handling duplicate rows.

Functions and Operators

This section covers a wide array of SQL functions and operators focusing on string manipulation (concatenation, case conversion, substring extraction, trimming, padding, and length), numeric functions (MODULUS, CEILING, FLOOR, ROUND, TRUNCATE), and date/time functions. It also provides an in-depth exploration of Regular Expressions (regex) and their use with functions like REGEXP_COUNT, REGEXP_INSTR, REGEXP_LIKE, REGEXP_REPLACE, and REGEXP_SUBSTR.

Conditional Logic and Aggregate Functions

Master conditional logic using CASE statements, NULLIF, COALESCE, LEAST, and GREATEST functions. You will learn about aggregate functions like COUNT, SUM, AVG, MIN, MAX, and how to handle NULL values within them. The section further explores the GROUP BY clause for grouping data and the HAVING clause for filtering groups based on aggregated values. Advanced reporting techniques using CUBE, ROLLUP, and GROUPING SETS are also discussed.

Joining and Windowing

This section dives into the essential techniques of joining multiple tables using various JOIN types (INNER, LEFT OUTER, RIGHT OUTER, FULL OUTER, and CROSS JOIN). You'll learn to use table aliases and effectively handle different join conditions. Next, you'll master window functions like RANK, DENSE_RANK, and ROW_NUMBER, enabling you to perform complex calculations across rows without explicit grouping.

Subqueries and Common Table Expressions (CTEs)

Learn the intricacies of subqueries—scalar, row, multi-row (IN, ANY/SOME, ALL), and correlated subqueries, along with table subqueries (inline views). You'll understand when and how to use different types of subqueries effectively. Finally, this section covers the use of Common Table Expressions (CTEs) with the WITH clause, a powerful technique for simplifying complex queries and improving readability.

Set Operators and Data Modeling

Explore the use of set operators: UNION, INTERSECT, and EXCEPT for combining and comparing result sets from multiple queries. The section also covers the essentials of data modeling, including conceptual, logical (normalization), and physical modeling, building a solid foundation for database design.

Data Definition Language (DDL) and Constraints

Learn the practical aspects of defining databases and tables using the Data Definition Language (DDL). You will cover CREATE DATABASE, CREATE TABLE (including the WITH AS keyword), ALTER TABLE (add/drop columns, primary and foreign keys), RENAME operations, comments, TRUNCATE, and DROP TABLE. You'll master the creation and application of various SQL constraints: CHECK, NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, and DEFAULT constraints.

Data Manipulation Language (DML) and Transaction Control

Master data manipulation using the Data Manipulation Language (DML): INSERT, UPDATE, DELETE, and MERGE statements. You'll learn how to insert data from literals, expressions, and queries, efficiently update and delete specific rows, and use the MERGE statement for sophisticated data integration. Finally, the section will teach you transaction control, covering COMMIT, ROLLBACK, and SAVEPOINT to manage database changes.

Advanced Data Definition: Sequences, Views, Users, and Roles

This section delves into creating and managing sequences for generating unique identifiers, working with views to simplify complex queries and improve data access, and defining users and roles with privileges to manage database security using Data Control Language (DCL). You’ll learn how to create, alter, rename, comment on, and drop these database objects, ensuring data integrity and control.

Course Completion

A wrap-up to the course.

Deal Source: real.discount