◎ Full SQL & Postgre Training ◎

➔ The SQL & Postgre Introduction module is designed to provide learners with a comprehensive understanding of SQL and Postgre databases. The module covers the basics of SQL, including how to create, modify, and query databases. Learners will also gain an understanding of Postgre, a popular open-source relational database management system. Through hands-on exercises and practical examples, learners will develop the skills needed to work with SQL and Postgre databases effectively. By the end of the module, learners will have a solid foundation in SQL and Postgre and be able to apply their knowledge to real-world scenarios.

➔ The SQL & Postgre module covers the basics of databases, including how they are structured, how to create and manipulate tables, and how to query data using SQL. Students will learn about the importance of data normalization and how to design efficient databases. They will also gain experience working with the Postgre database management system, including how to install and configure it, and how to use its various tools and features. By the end of the module, students will have a solid understanding of databases and be able to use SQL and Postgre to manage and analyze data.

➔ The SQL & Postgre module covers the fundamentals of relational databases and SQL. It explains how data is organized into tables, and how relationships between tables are established using keys. SQL is then introduced as the language used to query and manipulate data in these databases. Postgre, an open source relational database management system, is used as an example throughout the module.

➔ This module covers the installation of PostgreSQL on a Mac operating system. PostgreSQL is a powerful open-source relational database management system that provides robust data management capabilities. The module provides step-by-step instructions for downloading and installing PostgreSQL on a Mac, as well as configuring the server and connecting to it using SQL commands. Additionally, the module covers basic SQL commands and syntax, and how to use them to interact with PostgreSQL. By the end of the module, learners will have a working understanding of how to install and use PostgreSQL on a Mac.

➔ The PostgreSQL installation for Windows module covers the step-by-step process of installing PostgreSQL on a Windows operating system. It includes downloading the installer, selecting the appropriate options during installation, and configuring the PostgreSQL server. The module also provides an overview of SQL and how to use it with PostgreSQL, including creating and manipulating databases, tables, and data. By the end of this module, learners will have a basic understanding of how to install and use PostgreSQL on a Windows machine.

➔ The SQL & Postgre module on Tables in Databases covers the fundamental concepts of creating and managing tables in a database. It explores the various data types that can be used to define columns, as well as the different constraints that can be applied to ensure data integrity. The module also delves into the process of inserting, updating, and deleting data from tables, as well as querying data using SQL statements. Students will gain a solid understanding of how tables are used in databases and how to effectively work with them using Postgre.

➔ The SQL & Postgre module covers the basics of using the SELECT statement in SQL to retrieve data from a database. It also introduces Postgre, an open-source relational database management system, and provides a public URL for practicing SQL queries in a real-world environment. This module is ideal for beginners looking to learn SQL and gain hands-on experience with Postgre.

➔ The Primary and Foreign Keys module in SQL and Postgre is focused on the concept of creating relationships between tables. Primary keys are used to uniquely identify each record in a table, while foreign keys are used to establish a link between two tables. This module covers the importance of primary and foreign keys in database design, how to create and manage them, and how to use them to enforce referential integrity. It also covers common issues that can arise when working with primary and foreign keys, and how to troubleshoot them.

➔ The SQL & Postgre module covers the concept of single constraints, specifically the "not null" check. This ensures that a particular column in a database table cannot have a null value, which can cause errors and inconsistencies in data. Students will learn how to implement this constraint in both SQL and Postgre databases, and understand its importance in maintaining data integrity.

➔ In the SQL & Postgre module's "Creating our first table" lesson, learners are introduced to the basics of creating a table in a database. They will learn how to define the structure of a table, including its columns and data types, and how to insert data into the table. This lesson provides a solid foundation for understanding how to work with databases using SQL and Postgre.

➔ In this module, you will learn how to create the Actors table using SQL commands in Postgre. You will understand the syntax of creating a table, defining columns, and setting constraints. Additionally, you will explore different data types and how to insert data into the table. By the end of this module, you will have the skills to create a functional Actors table in Postgre using SQL.

➔ The SQL & Postgre module "Changing the data type in columns" covers the process of altering the data type of a column in a table. This module provides an overview of the different data types available in SQL and Postgre, and explains how to modify the data type of a column using the ALTER TABLE statement. Learners will also gain an understanding of the potential consequences of changing data types and the importance of backing up data before making any alterations.

➔ The SQL & Postgre module on Deleting Tables covers the process of removing tables from a database. This includes using the DROP command and understanding the potential consequences of deleting a table, such as losing all associated data. Students will also learn about cascading deletes and how to use constraints to prevent accidental deletions. Overall, this module provides a comprehensive overview of table deletion in SQL and Postgre databases.

➔ The SQL & Postgre module on Data Definition Language provides an in-depth understanding of SQL commands used to define and manipulate database structures. The module covers the creation, alteration, and deletion of database objects such as tables, views, indexes, and constraints. It also includes the use of Postgre-specific commands for data definition, such as CREATE EXTENSION and ALTER SYSTEM. The module is designed to equip learners with the necessary skills to manage database structures effectively.

➔ The SQL & Postgre module on Data Definition Language (DDL) teaches students how to create, modify, and delete database objects such as tables, indexes, and views. Students will learn how to use SQL commands to define data types, constraints, and relationships between tables. They will also learn how to manage database security by granting and revoking privileges to users. The module covers the basics of DDL in SQL and Postgre, providing a solid foundation for building and maintaining databases.

➔ The SQL & Postgre module provides an introduction to the SQL language and the Postgre database management system. Students will learn how to create, read, update, and delete data using SQL commands, as well as how to design and implement a database schema. The module also covers advanced SQL topics such as subqueries, joins, and indexing, and explores the unique features of Postgre, including its support for JSON data and its powerful procedural language PL/pgSQL. By the end of the module, students will have a solid understanding of SQL and Postgre, and will be able to apply this knowledge to build and maintain robust databases.

➔ The SQL & Postgre module provides an introduction to the basic CRUD (Create, Read, Update, Delete) operations in database management. This module covers the fundamentals of creating, searching, modifying, and deleting data using SQL and Postgre. Students will learn how to use SQL commands to create tables, insert data, and perform queries. They will also learn how to use Postgre to manage databases and perform CRUD operations. By the end of this module, students will have a solid understanding of the basics of SQL and Postgre and be able to apply these skills in real-world scenarios.

➔ The SQL & Postgre module on Inserting Data into a Table covers the fundamental process of adding new data to a table in a relational database. This module teaches the syntax and usage of the INSERT statement, along with best practices for formatting and organizing data for insertion. Students will also learn about data type conversions, handling errors and exceptions, and using subqueries to insert data from other tables. By the end of this module, students will have a solid understanding of how to effectively insert data into a Postgre SQL database.

➔ The SQL & Postgre module on Editing in a Table covers the basics of updating and modifying data within a database table. Students will learn how to use the UPDATE statement to change values in specific rows and columns, as well as how to use the DELETE statement to remove unwanted data. The module also covers constraints and how to use them to ensure data integrity. By the end of the module, students will have a solid understanding of how to edit and manage data within a Postgre database.

➔ The SQL & Postgre module on Deleting Data from a Table covers the process of removing data from a database table. This includes using the DELETE statement with various conditions and clauses to selectively remove specific rows or all rows from a table. The module also covers the use of cascading deletes and the potential risks involved. Students will learn how to effectively delete data while maintaining data integrity and avoiding unintended consequences.

➔ In this module, we will learn how to insert data into our Films database using SQL and Postgre. We will explore the various methods available for inserting data, including using the INSERT statement and importing data from external sources. We will also cover best practices for data insertion, such as ensuring data integrity and avoiding duplicate entries. By the end of this module, you will have a solid understanding of how to add new data to your Films database using SQL and Postgre.

➔ The SQL & Postgre module in the Data Manipulation Challenge teaches learners how to manipulate and query data using SQL and Postgre databases. Students will learn how to create and modify tables, insert and update data, and retrieve information using various SQL commands. They will also gain an understanding of how to use Postgre, a popular open-source relational database management system, to store and manage large amounts of data efficiently. By completing this module, learners will have a solid foundation in SQL and Postgre, which are essential skills for anyone working with data.

➔ The SQL & Postgre module is a comprehensive data manipulation solution that enables users to manage and manipulate data with ease. With SQL, users can write queries to extract and manipulate data from databases, while Postgre provides a powerful database management system for storing and organizing data. This module is essential for anyone looking to work with data and requires a strong understanding of SQL and Postgre.

➔ The SQL & Postgre module covers the fundamentals of SQL, including data manipulation, querying, and database design. Students will learn how to use Postgre, an open-source relational database management system, to create and manage databases. The module covers topics such as creating tables, inserting data, updating data, and querying data using SQL. Students will also learn how to use advanced SQL features such as joins, subqueries, and aggregate functions. By the end of the module, students will have a solid understanding of SQL and be able to use Postgre to create and manage databases.

➔ This section provides an introduction to SQL and Postgre, which are essential tools for managing relational databases. SQL is a programming language used to communicate with databases, while Postgre is a powerful open-source database management system. In this section, you will learn the basics of SQL and how to use Postgre to create, manipulate, and query databases. You will also gain an understanding of key concepts such as tables, columns, and rows, as well as how to write SQL statements to extract data from databases.

➔ The SQL & Postgre module on Query Selection covers the basics of selecting data from a database using SQL syntax and the Postgre database management system. Students will learn how to use the SELECT statement to retrieve specific columns and rows of data, filter results using WHERE clauses, and sort data using ORDER BY. They will also learn about aggregate functions such as COUNT, SUM, and AVG, and how to use them to perform calculations on data. Additionally, the module covers joining tables and using subqueries to retrieve data from multiple tables.

➔ The SQL & Postgre module on WHERE conditions teaches how to filter data in a database using conditions. This module covers various operators such as =, <>, <, >, <=, >=, IN, NOT IN, LIKE, NOT LIKE, and BETWEEN. Students will learn how to combine multiple conditions using logical operators such as AND, OR, and NOT. This module also covers the use of wildcards and regular expressions to search for patterns in data.

➔ The Logical Operators module in SQL and Postgre introduces the concept of logical operators, which are used to combine multiple conditions in a query. This module covers the three main logical operators: AND, OR, and NOT, as well as their usage and precedence rules. Additionally, it explores how to use parentheses to group conditions and create more complex queries. By the end of this module, learners will have a solid understanding of logical operators and how to use them effectively in SQL and Postgre.

➔ The SQL & Postgre module on Selection queries covers the fundamental concepts of querying data from a database using SELECT statements. It explains how to use WHERE clauses to filter data based on specific conditions, how to sort and group data using ORDER BY and GROUP BY clauses, and how to join multiple tables using JOIN statements. Additionally, the module covers advanced topics such as subqueries and window functions, providing learners with a comprehensive understanding of SQL querying capabilities.

➔ The SQL & Postgre module's "Solution 1: Selection queries" covers the basics of selecting data from a database using SQL queries. Students will learn how to use the SELECT statement to retrieve specific columns and rows from a table, as well as how to use WHERE clauses to filter data based on specific criteria. The module also covers the use of aggregate functions to perform calculations on selected data, such as calculating the average or sum of a column. Students will gain hands-on experience with Postgre, a popular open-source database management system, to practice writing and executing selection queries.

➔ This module focuses on using the IN and NOT IN operators in SQL queries to restrict data output. It covers how to specify multiple values in a query using IN and how to exclude values using NOT IN. The module also includes examples of using these operators with the PostgreSQL database management system.

➔ The SQL & Postgre module on "data restriction and output with LIKE" covers the use of the LIKE operator to filter query results based on specific patterns or character strings. This module teaches students how to use wildcards and regular expressions to refine their searches and retrieve only the relevant data from a database. By the end of this module, students will have a solid understanding of how to restrict data output using LIKE in SQL and Postgre.

➔ The SQL & Postgre module on "Data restriction and output with BETWEEN" covers the use of the BETWEEN operator to specify a range of values for data retrieval and manipulation. This module teaches how to use BETWEEN in SQL queries to filter data based on a specific range of values. It also covers how to combine BETWEEN with other SQL operators to further refine data output. Students will learn how to apply these concepts in Postgre, a popular open-source relational database management system.

➔ The SQL & Postgre module's Challenge 2 focuses on selection queries, which allow users to retrieve specific data from a database. This section covers topics such as filtering data with WHERE clauses, using logical operators to combine conditions, and sorting results with ORDER BY. Students will also learn how to group data with GROUP BY and calculate aggregate functions with HAVING clauses. These skills are essential for querying databases efficiently and effectively.

➔ The SQL & Postgre module's Solution 2: Selection queries covers the basics of selecting data from a database using SQL commands. This module provides an overview of the SELECT statement and its various components, including the use of WHERE clauses, ORDER BY clauses, and LIMIT clauses. Students will also learn how to use aggregate functions to perform calculations on data sets, as well as how to join tables to retrieve data from multiple sources. By the end of this module, students will have a solid understanding of how to retrieve specific data from a database using SQL and Postgre.