SQL Essentials Online Course
SQL Essentials Online Course
This course is a comprehensive guide to learning SQL from the ground up, helping you become proficient in database management and data querying. You will begin with fundamental concepts such as relational databases, schemas, and data types before moving on to writing SQL queries for retrieving, filtering, and modifying data. As you progress, you will learn about aggregations, subqueries, joins, and unions, allowing you to handle complex data operations. Advanced topics such as window functions and query optimization will equip you with the skills to write efficient, real-world SQL queries. By the end of this course, you will have hands-on experience writing SQL queries, making you job-ready for technical interviews and real-world applications.
Key Benefits
- Complete Learning Path – Covers everything from SQL basics to advanced queries.
- Hands-on Approach – Learn SQL through practical exercises and real-world examples.
- Job-Oriented Training – Gain the query-writing skills needed for SQL-based interviews.
- Advanced Query Techniques – Work with joins, subqueries, and window functions to handle complex data.
- Database Integration Skills – Learn how SQL integrates with Python and data applications.
Target Audience
- Beginners who want to learn SQL and database management.
- Data analysts looking to extract and manipulate data efficiently.
- Developers who need to integrate databases into applications.
- Job seekers preparing for SQL-based technical interviews.
- Anyone working with large datasets in business intelligence, finance, or research.
Learning Objectives
By the end of this course, you will:
- Understand SQL databases and their real-world applications.
- Create and manage databases, tables, and schemas.
- Write SQL queries to insert, retrieve, update, and delete data.
- Apply filters and logical conditions to extract specific data.
- Perform aggregations and grouping to analyze data trends.
- Work with joins, unions, and subqueries to merge and manipulate datasets.
- Utilize window functions for advanced analytics.
- Optimize SQL queries for better performance and efficiency.
Course Outline
The SQL Essentials Exam covers the following topics -
Module 1 - Introduction to Databases and Course Setup
- Learn the basics of relational databases and how data is structured.
- Understand schemas and data types in SQL.
- Set up a PostgreSQL server on Mac and Windows for local development.
- Choose an SQL editor (Postico, DataGrip, or CLI) to write and execute queries.
- Learn how to create and remove databases using SQL commands.
Module 2 - Working with Databases, Tables, and Queries
- Create schemas to organize data.
- Define and modify tables to store structured information.
- Alter tables by adding or modifying columns.
- Use enumerated types to store fixed sets of values.
- Insert new records into a database.
- Run SQL scripts to automate database tasks.
- Extract data using SELECT queries.
- Create tables based on query results.
- Use aliases and ordering to organize query outputs.
Module 3 - Filtering Data and Arithmetic Operations
- Perform conditional filtering using direct comparisons (e.g., =, >, <).
- Group conditions using AND, OR, and NOT operators.
- Filter null values to refine results.
- Create new columns dynamically using arithmetic operations.
- Convert data types within SQL queries.
- Apply logic statements for advanced filtering.
Module 4 - Working with Dates, Times, and Data Manipulation
- Manipulate string data by extracting and formatting text.
- Retrieve specific positions within strings.
- Concatenate, replace, and transform string values.
- Work with date and time functions for timestamp operations.
- Calculate time intervals and perform date-based calculations.
- Use SQL comments to document queries for better readability.
- Apply aggregation functions like SUM, COUNT, AVG, MIN, and MAX.
- Group and filter aggregated data using GROUP BY and HAVING clauses.
Module 5 - Joins, Unions, and Subqueries
- Perform INNER JOINS to connect related data from multiple tables.
- Explore LEFT JOIN, RIGHT JOIN, and OUTER JOIN to retrieve missing data.
- Use SELF JOINS to compare data within the same table.
- Combine query results with UNIONS for advanced dataset manipulation.
- Execute subqueries to filter and retrieve specific data.
- Understand Common Table Expressions (CTEs) for organizing complex queries.
Module 6 - Window Functions for Query Optimization
- Learn how window functions differ from aggregation.
- Use row numbering and ranking functions for sorting and comparison.
- Apply window functions to access other rows within a dataset.
- Implement NTILE to distribute rows into groups for advanced analytics.
- Analyze query performance and optimize execution for efficiency.
Module 7 - Hands-On SQL Exercises
- Exercise 1: Writing basic queries to retrieve and filter data.
- Exercise 2: Creating and modifying tables using different SQL commands.
- Exercise 3: Working with string functions and date manipulations.
- Exercise 4: Using joins, unions, and subqueries to extract insights.
- Exercise 5: Implementing window functions for advanced analysis.
