
This course includes our updated coding exercises so you can practice your skills as you learn.
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Install and configure Oracle Express Edition and Oracle SQL Developer, create and test a database connection, and explore basic setup steps for beginners.
Create a test database in pg admin, then design tables—customers, products, and transactions—using create table with columns, data types, and constraints like not null, primary key, and foreign key.
Connect to existing schemas in Oracle express edition, create a connection with a predefined user, and use create table to add tables within those schemas (no database creation).
Learn to insert data in Oracle SQL with insert into, with or without column names, handle nulls, and use unions and dual for multiple rows and virtual values.
Import data into Oracle SQL Developer from CSV or text files, specifying UTF-8 encoding, comma delimiter, and header handling; map columns to the customer table and complete the import.
Learn to use and, or, and not in OracleSQL to filter customers, including ages between 20 and 30 and excluding specific values.
Practice selecting data with where clauses and logical operators on a science class table. Retrieve names with scores over 60 and those over 35 but under 60, plus remaining students.
Update records in PostgreSQL with the update statement, set, and where. Update a customer's age and last name by id, and emails for G.
Delete records in OracleSQL via delete from, using a where clause to target customer_id = 6 or age > 25, or delete all rows when no condition is given.
Create the supermarket database by building customer, product, and sales tables and loading data from CSV files with the copy command in PostgreSQL.
Discover how the in condition simplifies queries in PostgreSQL and Oracle SQL, replacing many or clauses with a single in (values) filter in the where clause.
Learn how to use the between condition in PostgreSQL to retrieve values within a range, with inclusive lower and upper bounds, for numbers and dates, including not between ranges.
Use like in Oracle SQL for pattern matching with percent and underscore wildcards to filter names, explore case sensitivity, and match starting and internal patterns.
Sort the result set by discount values in descending order, display orders with a discount greater than zero, and limit to the top ten for maximum discounts.
Learn how to alias columns and tables in PostgreSQL and Oracle SQL, including using as for columns, direct table aliases in Oracle, and quoting rules for string aliases.
4 Reasons why you should choose this SQL course
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 both, PostgreSQL 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 weekend. SQL is the most sought after skill for Data analysis roles in all the companies. PostgreSQL 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 PostgreSQL, SQL Server, SQLite, and Oracle 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.
Which is better, PostgreSQL or Oracle SQL?
Both are excellent products with unique strengths, and the choice is often a matter of personal preference.
PostgreSQL offers overall features for traditional database applications, it is open source and offers great support.
Oracle Database has decades of experience and high levels of development expertise. It not only provides more transactions per second than PostgreSQL, but also arguably provides higher levels of security. However, many of Oracle’s security features come at an added cost. Oracle is secure and ensures that user data is not tampered with through prompt updates.
Both dialects are very popular today, but PostgreSQL has gained market share recently and is trending upwards because (some have claimed) it has features more suited to today’s dynamic development requirements..
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 Oracle SQL: Gartner, Nike, Costco, Airbnb, eBay etc.