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Since April 2025
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SQL 101: Master the Language of Data, From Fundamentals to Advanced Techniques
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From 13 $ /h
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If you've ever looked at a database and thought, "Where do I even start?"—this course is for you. I'm going to teach you SQL from the ground up, no fluff, no jargon, just the real stuff you need to get confident writing queries that actually do something useful.

We'll start with the basics—how to pull data from a table—and build up to more advanced topics like joins, aggregations, subqueries, and even window functions. You’ll learn how to ask the right questions, write clean, readable queries, and solve real-world problems with data.
Location
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Online from India
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
Chicago
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Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
In this course, you'll learn Python from the ground up, starting with the basics and progressing to more advanced concepts. You'll gain hands-on experience writing Python code, working with data structures, and using libraries to solve real-world problems. By the end of the course, you'll be confident in your ability to write Python programs, automate tasks, and tackle challenges in various domains.
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Brahim
Module 1: SQL Overview
Outlining SQL as the cornerstone of database activity
Applying the ANSI/ISO standards
Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys

Module 2: Building the Database Schema
- Creating tables and columns
Building tables with CREATE TABLE
Modifying table structure with ALTER TABLE
Adding columns to an existing table
Removing tables with DROP TABLE

- Protecting data integrity with constraints
Guaranteeing uniqueness with primary key constraints
Enforcing integrity with foreign key constraints
Imposing business rules with check constraints

- Improving performance with indexes
Expediting data retrieval with indexes
Recommending guidelines for index creation

Module 3: Manipulating Data
- Modifying table contents
Adding table rows with INSERT
Changing row content with UPDATE
Removing rows with DELETE

- Applying transactions
Controlling transactions with COMMIT and ROLLBACK
Deploying BEGIN TRANSACTION in SQL Server

Module 4: Working with the SELECT Statement
- Writing Single Table queries
Retrieving data with SELECT
Specifying column expressions
Sorting the result with ORDER BY
Handling NULL values in expressions

- Restricting rows with the WHERE filter
Testing for equality or inequality
Applying wildcard characters
Avoiding NULL value pitfalls

Module 5: Querying Multiple Tables
- Applying the ANSI/ISO standard join syntax
Matching related rows with INNER JOIN
Including nonmatched rows with OUTER JOIN
Creating a Cartesian product with CROSS JOIN

- Combining results with set operators
Stacking results with UNION
Identifying matching rows with INTERSECT
Utilizing EXCEPT to find nonmatching rows

Module 6: Employing Functions in Data Retrieval
- Processing data with row functions
Conditional formatting with the CASE expression
Utilizing the CASE expression to simulate IF tests
Dealing with NULL values

- Performing analysis with aggregate functions
Summarizing data using SUM, AVG and COUNT
Finding the highest/lowest values with MAX and MIN
Defining the summary level with GROUP BY
Applying filter conditions with HAVING

Module 7: Constructing Nested Queries
- Applying subqueries in filter conditions
Creating correlated vs. noncorrelated subqueries
Testing the existence of rows

- Including subqueries in expressions
Placing subqueries in the column list
Creating complex expressions containing subqueries
Handling subqueries that return no rows

Module 8: Developing In-Line and Stored Views
- Breaking down complex problems
Selecting data from a query result set
Using subqueries in the FROM clause

- Creating views in a database
Building reusable code
Creating updateable vs. non-updateable views
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Samir
Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the data industry and in increasing demand.

In this two-hour introduction to SQL, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test. SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction.

The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results. PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course you’ll have some hands-on experience in learning SQL and the grounding to start applying it on projects or continue your learning in a more specialized direction.

Relational Databases
Before writing any SQL queries, it’s important to understand the underlying data. In this chapter, we’ll discover the role of SQL in creating and querying relational databases. Using a database for a local library, we will explore database and table organization, data types and storage, and best practices for database construction.

Querying
Learn your first SQL keywords for selecting relevant data from database tables! After practicing querying skills in a database of books, you’ll customize query results using aliasing and save them as views so they can be shared. Finally, you’ll explore the differences between SQL flavors and databases such as PostgreSQL and SQL Server.
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arrow icon previousarrow icon next
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Brahim
Module 1: SQL Overview
Outlining SQL as the cornerstone of database activity
Applying the ANSI/ISO standards
Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys

Module 2: Building the Database Schema
- Creating tables and columns
Building tables with CREATE TABLE
Modifying table structure with ALTER TABLE
Adding columns to an existing table
Removing tables with DROP TABLE

- Protecting data integrity with constraints
Guaranteeing uniqueness with primary key constraints
Enforcing integrity with foreign key constraints
Imposing business rules with check constraints

- Improving performance with indexes
Expediting data retrieval with indexes
Recommending guidelines for index creation

Module 3: Manipulating Data
- Modifying table contents
Adding table rows with INSERT
Changing row content with UPDATE
Removing rows with DELETE

- Applying transactions
Controlling transactions with COMMIT and ROLLBACK
Deploying BEGIN TRANSACTION in SQL Server

Module 4: Working with the SELECT Statement
- Writing Single Table queries
Retrieving data with SELECT
Specifying column expressions
Sorting the result with ORDER BY
Handling NULL values in expressions

- Restricting rows with the WHERE filter
Testing for equality or inequality
Applying wildcard characters
Avoiding NULL value pitfalls

Module 5: Querying Multiple Tables
- Applying the ANSI/ISO standard join syntax
Matching related rows with INNER JOIN
Including nonmatched rows with OUTER JOIN
Creating a Cartesian product with CROSS JOIN

- Combining results with set operators
Stacking results with UNION
Identifying matching rows with INTERSECT
Utilizing EXCEPT to find nonmatching rows

Module 6: Employing Functions in Data Retrieval
- Processing data with row functions
Conditional formatting with the CASE expression
Utilizing the CASE expression to simulate IF tests
Dealing with NULL values

- Performing analysis with aggregate functions
Summarizing data using SUM, AVG and COUNT
Finding the highest/lowest values with MAX and MIN
Defining the summary level with GROUP BY
Applying filter conditions with HAVING

Module 7: Constructing Nested Queries
- Applying subqueries in filter conditions
Creating correlated vs. noncorrelated subqueries
Testing the existence of rows

- Including subqueries in expressions
Placing subqueries in the column list
Creating complex expressions containing subqueries
Handling subqueries that return no rows

Module 8: Developing In-Line and Stored Views
- Breaking down complex problems
Selecting data from a query result set
Using subqueries in the FROM clause

- Creating views in a database
Building reusable code
Creating updateable vs. non-updateable views
verified badge
Samir
Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the data industry and in increasing demand.

In this two-hour introduction to SQL, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test. SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction.

The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results. PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course you’ll have some hands-on experience in learning SQL and the grounding to start applying it on projects or continue your learning in a more specialized direction.

Relational Databases
Before writing any SQL queries, it’s important to understand the underlying data. In this chapter, we’ll discover the role of SQL in creating and querying relational databases. Using a database for a local library, we will explore database and table organization, data types and storage, and best practices for database construction.

Querying
Learn your first SQL keywords for selecting relevant data from database tables! After practicing querying skills in a database of books, you’ll customize query results using aliasing and save them as views so they can be shared. Finally, you’ll explore the differences between SQL flavors and databases such as PostgreSQL and SQL Server.
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