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Learn most popular SQL dialects, PostgreSQL & MySQL. Learn SQL concepts, practice & compare syntax of PostgreSQL & MySQL

What you will learn

How to write SELECT queries to fetch relevant data in PostgreSQL and MySQL

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

How to group and aggregate data in PostgreSQL and MySQL

How to apply joins and combining queries in PostgreSQL and MySQL

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

Understanding of VIEWS and INDEXES in PostgreSQL and MySQL

How to write subqueries in PostgreSQL and MySQL

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 MySQL
  3. Downloadable resources covering important 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 MySQL 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, MySQL, database management, and various data analysis tools available in the market.

We are also the creators of some of the most popular online courses – with over 1 million enrollments and thousands of 5-star reviews like these ones:

I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! – Sikiru

Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. – Armand

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


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FAQ’s

Why learn SQL?

  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 MySQL. 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 have minor variations in the “dialect” of SQL that they use, but it’s all still SQL.

Which is better, PostgreSQL or MySQL?

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, while MySQL focuses on faster performance for Web-based applications.

Open source development will bring more features to subsequent releases of both databases.

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.

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 MySQL

Installing and Setting up MySQL

Fundamental SQL statements

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

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 MySQL

Restoring and Back-up in MySQL
Restore and Back-up in MySQL

Selection commands: Filtering

IN in PostgreSQL
IN in MySQL
BETWEEN in PostgreSQL
BETWEEN in MySQL
LIKE in PostgreSQL
LIKE in MySQL

Selection commands: Ordering

Side Lecture: Commenting in SQL
ORDER BY in PostgreSQL
ORDER BY in MySQL
LIMIT in PostgreSQL
LIMIT in MySQL

Aliases

AS in PostgreSQL
AS in MySQL

Aggregate Commands

COUNT in PostgreSQL
COUNT in MySQL
SUM in PostgreSQL
SUM in MySQL
AVERAGE in PostgreSQL
AVERAGE in MySQL
MIN & MAX in PostgreSQL
MIN & MAX in MySQL

Group By Commands

GROUP BY in PostgreSQL
GROUP BY in MySQL
HAVING in PostgreSQL
HAVING in MySQL

Conditional Statement

CASE WHEN in PostgreSQL
CASE WHEN in MySQL

JOINS

Introduction to Joins
Concepts of Joining and Combining Data
Preparing the data
Inner Join in PostgreSQL
Inner Join in MySQL
Left Join in PostgreSQL
Left Join in MySQL
Right Join in PostgreSQL
Right Join in MySQL
Full Outer Join in PostgreSQL
Full Outer Join in MySQL
Cross Join in PostgreSQL
Cross Join in MySQL
Intersect and Intersect ALL in PostgreSQL
Intersect in MySQL
Except in PostgreSQL
Except in MySQL
Union in PostgreSQL
Union in MySQL

Subqueries

Subqueries: Subquery in WHERE clause in PostgreSQL
Subqueries: Subquery in FROM clause in PostgreSQL
Subqueries: Subquery in SELECT in PostgreSQL
Subqueries in MySQL

Views and Indexes

VIEWS in PostgreSQL
VIEWS in MySQL
INDEX in PostgreSQL
INDEX in MySQL

String Functions

LENGTH in PostgreSQL
UPPER LOWER in PostgreSQL
REPLACE in PostgreSQL
TRIM, LTRIM, RTRIM in PostgreSQL
CONCATENATION in PostgreSQL
SUBSTRING in PostgreSQL
LIST AGGREGATION in PostgreSQL
String Functions Part 1 in MySQL
String Functions Part 2 in MySQL

Mathematical Functions

CEIL & FLOOR in PostgreSQL
RANDOM in PostgreSQL
SETSEED in PostgreSQL
ROUND in PostgreSQL
POWER in PostgreSQL
Mathematical Functions in MySQL

Date-Time Functions

CURRENT DATE & TIME in PostgreSQL
AGE in PostgreSQL
EXTRACT in PostgreSQL
Date-Time Functions in MySQL

Data Type conversion

Data Type conversion to string in PostgreSQL
Data Type conversion to Number and Date in PostgreSQL
Data Type conversion in MySQL

PATTERN (STRING) MATCHING

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

Congratulations

The final milestone!
Bonus Lecture