SQL with PostgreSQL for Beginners: Analyze | Manipulate Data

SQL (Structured Query Language) is a highly sought-after tech skill in today's job market. Master SQL and unlock the power to work with data effectively.

What Can SQL Do?

SQL empowers you to:

• Access and manipulate databases: Gain control over your data.
• Execute queries: Ask questions of your database.
• Retrieve data: Fetch specific information from your database.
• Insert records: Add new data to your database.
• Update records: Modify existing data.
• Delete records: Remove unwanted data.
• Create new databases: Build your own data storage solutions.
• Create tables: Design the structure of your data.
• Create stored procedures: Automate database tasks.
• Filter data: Extract specific subsets of data.
• Sort data: Organize data in a meaningful order.
• Truncate and drop tables: Manage your database schema.

PostgreSQL: A Powerful Open-Source Database

Consider PostgreSQL, a robust, open-source object-relational database management system. It's an advanced, enterprise-class solution known for its stability and reliability, built over 20 years by a dedicated open-source community. PostgreSQL supports both SQL (relational) and JSON (non-relational) data querying, making it versatile for a wide range of applications. It's a popular choice for powering web applications, mobile apps, and analytics platforms.

What You Will Learn:

This course will equip you with the skills to:

• Perform CRUD Operations: Learn the fundamental Create, Read, Update, and Delete operations.
• PostgreSQL Database Objects: Understand the core components of a PostgreSQL database.
• Database Concepts: Grasp essential database principles.
• Creating a database using PostgreSQL GUI: Learn to create databases visually.
• Creating tables with PostgreSQL GUI and SQL Commands: Master table creation using both methods.
• Inserting Data into tables: Add new information to your tables.
• Query and read data stored inside a table: Extract data using SQL queries.
• Filter and Sort data from a table: Refine and organize your data.
• Using Sub queries to retrieve data: Employ nested queries for complex data retrieval.
• Updating existing data stored inside a database: Modify data within your tables.
• Query and eliminate duplicate records: Cleanse your data.
• Deleting records stored inside database: Remove unwanted data.
• Truncating a database table: Quickly empty a table.
• Dropping a database table: Remove a table from your database.
• Implementing Stored Procedure: Automate tasks with stored procedures.
• Joining and querying data from multiple tables: Combine data from related tables.
• Using various aggregate functions and grouping data: Summarize and analyze data.
• Using various Operators to query data: Employ operators for advanced filtering.
• Using various Analytic Functions: Perform advanced calculations on data sets.