
This course includes our updated coding exercises so you can practice your skills as you learn.
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Create a PostgreSQL database named training and design tables for customers, products, and transactions using create table syntax, with not null, default, unique, check, primary key, and foreign key constraints.
Create a database named training and a customer table using a create command in MS SQL, with customer_id int, first_name varchar(30), last_name varchar(30), age int, and email varchar(30).
Create a classroom database and a science class table with enrollment number (integer), name (varchar), and signs marks (integer), using the query tool as part of exercise 1.
Master the select command in PostgreSQL to fetch data from the customer table, choosing specific columns or using the wildcard to retrieve all columns and view result sets.
Master the select statement in MySQL to fetch data from a table, choosing specific columns or all columns with a wildcard, and view the resulting data set.
Use the distinct keyword with select to eliminate duplicates and fetch unique values from a table, such as distinct first name from customer table, for a specific column.
Learn how to use distinct in MS SQL to remove duplicates and return unique first names from the customer table, then combine names with ages to show when duplicates appear.
Use the where clause to filter data in PostgreSQL. Write queries with select, from, and conditions like age = 25 or age > 25, and explore distinct results.
Learn to update records in PostgreSQL using the update query by specifying the table, setting columns, and applying where conditions to modify ages, names, and emails for multiple targets.
Use delete from in ms sql to remove specific rows with conditions, such as customer_id = 6 or age > 35, and demonstrate deleting all rows from a table.
Alter Oracle SQL tables by adding, dropping, renaming, or modifying columns, and apply constraints such as not null, check, primary key, and foreign key.
Learn how to import and export data in MySQL Workbench by importing SQL files or folders, creating a new database named Super DB, and exporting dumps.
Learn how to back up and restore an MS SQL database, including backup options, file paths, and restoring from devices for database named my DB.
4 Reasons why you should choose this SQL bundle
Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses
Comprehensive - covers basic and advanced SQL statements in top 4 SQL dialects, MySQL, PostgreSQL, MS SQL and Oracle SQL
Downloadable resources covering essential topics on SQL
Your queries on SQL and anything covered in the Masterclass will be responded by the Instructor himself
A Verifiable Certificate of Completion is presented to all students who undertake this SQL course.
Why should you choose this course?
This is a complete tutorial on SQL which can be completed within a week. SQL is the most sought-after skill for Data analysis roles in all the companies. MySQL, PostgreSQL, MS SQL and Oracle SQL are highly desired skills for database management and data analysis roles. So whether you want to start a career as a data scientist or just grow you data analysis skills, this course will cover everything you need to know to do that.
What makes us qualified to teach you?
The course is taught by Abhishek, Pukhraj and Nadeem. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. They have an in-depth knowledge in advanced SQL, PostgreSQL, Oracle SQL, database management, and various data analysis tools available in the market.
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
By the end of this course, your confidence in using SQL will soar. You'll have a thorough understanding of how to use SQL for Data analytics as a career opportunity.
Go ahead and click the enroll button, and I'll see you in lesson 1!
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FAQ's
Why learn SQL?
SQL is the most universal and commonly used database language. It powers the most commonly used database engines like MySQL, PostgreSQL, Oracle SQL, and Microsoft SQL. Simply put, If you want to access databases then yes, you need to know SQL.
It is not really difficult to learn SQL. SQL is not a programming language, it’s a query language. The primary objective where SQL was created was to give the possibility to common people to get interesting data from the database. It is also an English-like language so anyone who can use English at a basic level can write SQL queries easily.
SQL is one of the most sought-after skills by hiring employers.
You can earn good money
How much time does it take to learn SQL?
SQL is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn SQL quickly starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to learn SQL quickly.
What's the difference between SQL and PostgreSQL?
SQL is a language. Specifically, the "Structured Query Language"
PostgreSQL is one of several database systems, or RDMS (Relational Database Management System). PostgresSQL is one of several RDMS's, others of which are Oracle, Informix, MySQL, and MSQL.
All of these RDMSs use SQL as their language. Each of them has minor variations in the "dialect" of SQL that they use, but it's all still SQL.
Who uses these databases?
Here are a few examples of companies that use PostgreSQL: Apple, BioPharm, Etsy, IMDB, Macworld, Debian, Fujitsu, Red Hat, Sun Microsystem, Cisco, Skype.
Companies that use MySQL: Uber, Airbnb, Netflix, Udemy, Pinterest etc.
Companies that use Oracle SQL: Gartner, Nike, Costco, eBay etc.
Companies that use MS SQL: Accenture, Cognizant, Dell, Microsoft, ViaVarejo etc.