PostgreSQL and MS SQL for Beginners


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

What you will learn

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

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

How to group and aggregate data in PostgreSQL and MS SQL

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

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

Understanding of VIEWS and INDEXES in PostgreSQL and MS SQL

How to write subqueries in PostgreSQL and MS 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 MS 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 MS 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, MS 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 MS 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 MS 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, while MS SQL 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 MS SQL: Accenture, Cognizant, Dell, Microsoft, ViaVarejo 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 MS SQL

Installing and Setting up MS SQL
Debugging the installation process

Fundamental SQL statements

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

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

Selection commands: Filtering

IN in PostgreSQL
IN in MS SQL
BETWEEN in PostgreSQL
BETWEEN in MS SQL
LIKE in PostgreSQL
LIKE in MS SQL

Selection commands: Ordering

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

Aliases

AS in PostgreSQL
AS in MS SQL

Aggregate Commands

COUNT in PostgreSQL
SUM in PostgreSQL
AVERAGE in PostgreSQL
MIN & MAX in PostgreSQL
Aggregate Functions in MS SQL

Group By Commands

GROUP BY in PostgreSQL
GROUP BY in MS SQL
HAVING in PostgreSQL
HAVING in MS SQL

Conditional Statement

CASE WHEN in PostgreSQL
CASE WHEN in MS SQL

JOINS

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

Subqueries

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

Views and Indexes

VIEWS in PostgreSQL
VIEWS in MS SQL
INDEX in PostgreSQL
INDEX in MS SQL

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 in MS SQL

Mathematical Functions

CEIL & FLOOR in PostgreSQL
RANDOM in PostgreSQL
SETSEED in PostgreSQL
ROUND in PostgreSQL
POWER in PostgreSQL
Mathematical Functions in MS SQL- Part 1
Mathematical Functions in MS SQL- Part 2

Date-Time Functions

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

Data Type conversion

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

PATTERN (STRING) MATCHING

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

Congratulations

The final milestone!
Bonus Lecture