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Learn popular SQL dialects, PostgreSQL & Oracle SQL. Learn SQL concepts & compare syntax of PostgreSQL & Oracle SQL

What you will learn

How to write SELECT queries to fetch relevant data in PostgreSQL and Oracle SQL

How to filter and sort the data using WHEN, logical operators and ORDER BY

How to group and aggregate data in PostgreSQL and Oracle SQL

How to apply joins and combining queries in PostgreSQL and Oracle SQL

String, mathematical, date-time functions and pattern matching in PostgreSQL and Oracle SQL

Understanding of VIEWS and INDEXES in PostgreSQL and Oracle SQL

How to write subqueries in PostgreSQL and Oracle SQL

Description

4 Reasons why you should choose this SQL course

  1. Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses
  2. Comprehensive – covers basic and advanced SQL statements in both, PostgreSQL and Oracle SQL
  3. Downloadable resources covering essential topics on SQL
  4. 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!

Cheers

Start-Tech Academy

FAQ’s

Why learn SQL?


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  1. 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.
  2. 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.
  3. SQL is one of the most sought-after skills by hiring employers.
  4. 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.

English
language

Content

Introduction

Introduction

Course Resources

Course Resources
This is a milestone!

Setting up PostgreSQL and PGAdmin

Installing PostgreSQL and pgAdmin in your PC
If pgAdmin is not opening…

Installing Oracle SQL

Installing and Setting up Oracle SQL

Fundamental SQL statements

CREATE in PostgreSQL
CREATE in Oracle SQL
INSERT in PostgreSQL
INSERT in OracleSQL
Import data from File in PostgreSQL
Import data from File in OracleSQL
SELECT statement in PostgreSQL
SELECT statement in OracleSQL
SELECT DISTINCT in PostgreSQL
SELECT DISTINCT in OracleSQL
WHERE in PostgreSQL
WHERE in OracleSQL
Logical Operators in PostgreSQL
Logical Operators in OracleSQL
UPDATE in PostgreSQL
UPDATE in OracleSQL
DELETE in PostgreSQL
DELETE in OracleSQL
ALTER Part 1 in PostgreSQL
ALTER Part 2 in PostgreSQL
ALTER in Oracle SQL

Restore and Back-up in PostgreSQL

Restore and Back-up
Debugging restoration issues
Creating DB using CSV files
Debugging summary and Code for CSV files

Restore and Back-up in Oracle SQL

Restoring and Back-up in Oracle SQL

Selection commands: Filtering

IN in PostgreSQL
BETWEEN in PostgreSQL
IN & BETWEEN in Oracle SQL
LIKE in PostgreSQL
LIKE in Oracle SQL

Selection commands: Ordering

Side Lecture: Commenting in SQL
ORDER BY in PostgreSQL
LIMIT in PostgreSQL
ORDER BY & Limit in Oracle SQL

Aliases

AS in PostgreSQL
AS in OracleSQL

Aggregate Commands

COUNT in PostgreSQL
SUM in PostgreSQL
AVERAGE in PostgreSQL
MIN & MAX in PostgreSQL
Aggregate Functions in OracleSQL

Group By Commands

GROUP BY in PostgreSQL
HAVING in PostgreSQL
GROUP BY & HAVING in Oracle SQL

Condition Statements

CASE WHEN in PostgreSQL
CASE WHEN in Oracle SQL

JOINS

Introduction to Joins
Concepts of Joining and Combining Data
Preparing the data
Inner Join in PostgreSQL
Inner Join in Oracle SQL
Left Join in PostgreSQL
Right Join in PostgreSQL
Full Outer Join in PostgreSQL
Left, Right & Full outer join in Oracle SQL
Cross Join in PostgreSQL
Cross Join in Oracle SQL
Intersect and Intersect ALL in PostgreSQL
Except in PostgreSQL
Union in PostgreSQL
Intersect, Except & Union in Oracle SQL

Subqueries

Subqueries: Subquery in WHERE clause in PostgreSQL
Subqueries: Subquery in FROM clause in PostgreSQL
Subqueries: Subquery in SELECT in PostgreSQL
Subqueries in Oracle SQL

Views and Indexes

VIEWS in PostgreSQL
VIEWS in Oracle SQL
INDEX in PostgreSQL
INDEX in Oracle SQL

String Functions

Length in PostgreSQL
Length in Oracle SQL
UPPER LOWER in PostgreSQL
UPPER LOWER in OraleSQL
REPLACE in PostgreSQL
REPLACE in OracleSQL
TRIM, LTRIM, RTRIM in PostgreSQL
TRIM, LTRIM, RTRIM in Oracle SQL
CONCATENATION in PostgreSQL
CONCATENATION in Oracle SQL
SUBSTRING in PostgreSQL
SUBSTRING in Oracle SQL
LIST AGGREGATION in PostgreSQL
LIST AGGREGATION in Oracle SQL

Mathematical Functions

CEIL & FLOOR in PostgreSQL
RANDOM in PostgreSQL
SETSEED in PostgreSQL
ROUND in PostgreSQL
POWER in PostgreSQL
Mathematical Functions in Oracle SQL

Date-Time Functions

CURRENT DATE & TIME in PostgreSQL
AGE in PostgreSQL
Date-Time Functions in Oracle SQL
EXTRACT in PostgreSQL
Extract in Oracle SQL

Data Type conversion

Data Type conversion to string in PostgreSQL
Data Type conversion to Number and Date in PostgreSQL
Data Type conversion in Oracle SQL

PATTERN (STRING) MATCHING

PATTERN MATCHING BASICS
Advanced pattern matching Part 1 (REGULAR EXPRESSIONS)
Advanced pattern matching Part 2 (REGULAR EXPRESSIONS)
Pattern matching in Oracle SQL

Congratulations

The final milestone!
Bonus Lecture