4-In-1 Bundle: Mysql, Postgresql, Microsoft Sql & Oracle Sql

Learn concepts & compare syntax of 4 popular SQL dialects- PostgreSQL, MySQL, Microsoft SQL & Oracle SQL | SQL Bundle

What you'll learn

How to write SELECT queries to fetch relevant data in 4 SQL dialects - PostgreSQl, MySQL, Oracle SQL and Microsoft SQL

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

How to group and aggregate data in PostgreSQl, MySQL, Oracle SQL and Microsoft SQL

How to apply joins and combining queries in 4 SQL dialects - PostgreSQl, MySQL, Oracle SQL and Microsoft SQL

String, mathematical, date-time functions and pattern matching in 4 SQL dialects - PostgreSQl, MySQL, Oracle SQL and Microsoft SQL

Understanding of VIEWS and INDEXES in 4 SQL dialects - PostgreSQl, MySQL, Oracle SQL and Microsoft SQL

How to write subqueries in SQL

Requirements

Just a PC with any web browser

Description

4 Reasons why you should choose this SQL bundleCarefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businessesComprehensive - covers basic and advanced SQL statements in top 4 SQL dialects, MySQL, PostgreSQL, MS SQL and Oracle SQLDownloadable resources covering essential topics on SQLYour queries on SQL and anything covered in the Masterclass will be responded by the Instructor himselfA 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 PromiseTeaching 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!CheersStart-Tech AcademyFAQ'sWhy 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 moneyHow 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.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Course Resources

Lecture 2 Course resources

Lecture 3 This is a milestone!

Section 3: Setting up PostgreSQL and PGAdmin

Lecture 4 Installing PostgreSQL and PGAdmin in your PC

Lecture 5 If pgAdmin is not opening…

Section 4: Installing MySQL

Lecture 6 Installing and Setting up MySQL

Section 5: Installing MS SQL

Lecture 7 Installing and Setting up MS SQL

Section 6: Installing Oracle SQL

Lecture 8 Installing and Setting up Oracle SQL

Section 7: Fundamental SQL statements

Lecture 9 CREATE in PostgreSQL

Lecture 10 CREATE in MySQL

Lecture 11 CREATE in MS SQL

Lecture 12 CREATE in OracleSQL

Lecture 13 INSERT in PostgreSQL

Lecture 14 INSERT in MySQL

Lecture 15 INSERT in MS SQL

Lecture 16 INSERT in Oracle SQL

Lecture 17 Import data from File in PostgreSQL

Lecture 18 Import data from File in MySQL

Lecture 19 Import data from File in MS SQL

Lecture 20 Import data from File in Oracle SQL

Lecture 21 SELECT statement in PostgreSQL

Lecture 22 SELECT statement in MySQL

Lecture 23 SELECT statement in MS SQL

Lecture 24 SELECT statement in Oracle SQL

Lecture 25 SELECT DISTINCT in PostgreSQL

Lecture 26 SELECT DISTINCT in MySQL

Lecture 27 SELECT DISTINCT in MS SQL

Lecture 28 SELECT DISTINCT in Oracle SQL

Lecture 29 WHERE in PostgreSQL

Lecture 30 WHERE in MySQL

Lecture 31 WHERE in MS SQL

Lecture 32 WHERE in Oracle SQL

Lecture 33 Logical Operators in PostgreSQL

Lecture 34 Logical Operators in MySQL

Lecture 35 Logical Operators in MS SQL

Lecture 36 Logical Operators in Oracle SQL

Lecture 37 UPDATE in PostgreSQL

Lecture 38 UPDATE in MySQL

Lecture 39 UPDATE in MS SQL

Lecture 40 UPDATE in Oracle SQL

Lecture 41 DELETE in PostgreSQL

Lecture 42 DELETE in MySQL

Lecture 43 DELETE in MS SQL

Lecture 44 DELETE in Oracle SQL

Lecture 45 ALTER Part 1 in PostgreSQL

Lecture 46 ALTER Part 2 in PostgreSQL

Lecture 47 ALTER in MySQL

Lecture 48 ALTER in MS SQL

Lecture 49 ALTER in Oracle SQL

Section 8: Restore and Back-up in PostgreSQL

Lecture 50 Restore and Back-up

Lecture 51 Debugging restoration issues

Lecture 52 Creating DB using CSV files

Lecture 53 Debugging summary and Code for CSV files

Section 9: Restore and Back-up in MySQL

Lecture 54 Restoring and Back-up in MySQL

Lecture 55 Restore and Back-up in MySQL

Section 10: Restore and Back-up in MS SQL

Lecture 56 Restoring and Back-up in MS SQL

Lecture 57 Restoring and Back-up in MS SQL

Section 11: Restore and Back-up in Oracle SQL

Lecture 58 Restoring and Back-up in Oracle SQL

Section 12: Selection commands: Filteing

Lecture 59 IN in PostgreSQL

Lecture 60 IN in MySQL

Lecture 61 IN in MS SQL

Lecture 62 BETWEEN in PostgreSQL

Lecture 63 BETWEEN in MySQL

Lecture 64 BETWEEN in MS SQL

Lecture 65 IN & BETWEEN in Oracle SQL

Lecture 66 LIKE in PostgreSQL

Lecture 67 LIKE in MySQL

Lecture 68 LIKE in MS SQL

Lecture 69 LIKE in Oracle SQL

Section 13: Selection commands: Ordering

Lecture 70 Side Lecture: Commenting in SQL

Lecture 71 ORDER BY in PostgreSQL

Lecture 72 ORDER BY in MySQL

Lecture 73 ORDER BY in MS SQL

Lecture 74 LIMIT in PostgreSQL

Lecture 75 LIMIT in MySQL

Lecture 76 LIMIT in MS SQL

Lecture 77 ORDER BY & LIMIT in Oracle SQL

Section 14: Aliases

Lecture 78 AS in PostgreSQL

Lecture 79 AS in MySQL

Lecture 80 AS in MS SQL

Lecture 81 AS in Oracle SQL

Section 15: Aggregate Commands

Lecture 82 COUNT in PostgreSQL

Lecture 83 COUNT in MySQL

Lecture 84 SUM in PostgreSQL

Lecture 85 SUM in MySQL

Lecture 86 AVERAGE in PostgreSQL

Lecture 87 AVERAGE in MySQL

Lecture 88 MIN & MAX in PostgreSQL

Lecture 89 MIN & MAX in MySQL

Lecture 90 Aggregate Functions in MS SQL

Lecture 91 Aggregate Functions in Oracle SQL

Section 16: Group By Commands

Lecture 92 GROUP BY in PostgreSQL

Lecture 93 GROUP BY in MySQL

Lecture 94 GROUP BY in MS SQL

Lecture 95 HAVING in PostgreSQL

Lecture 96 HAVING in MySQL

Lecture 97 HAVING in MS SQL

Lecture 98 GROUP BY & HAVING in Oracle SQL

Section 17: Conditional Statement

Lecture 99 CASE WHEN in PostgreSQL

Lecture 100 CASE WHEN in MySQL

Lecture 101 CASE WHEN in MS SQL

Lecture 102 CASE WHEN in Oracle SQL

Section 18: JOINS

Lecture 103 Introduction to Joins

Lecture 104 Concepts of Joining and Combining Data

Lecture 105 Preparing the data

Lecture 106 Inner Join in PostgreSQL

Lecture 107 Inner Join in MySQL

Lecture 108 Inner Join in MS SQL

Lecture 109 Inner Join in Oracle SQL

Lecture 110 Left Join in PostgreSQL

Lecture 111 Left Join in MySQL

Lecture 112 Left Join in MS SQL

Lecture 113 Right Join in PostgreSQL

Lecture 114 Right Join in MySQL

Lecture 115 Right Join in MS SQL

Lecture 116 Full Outer Join in PostgreSQL

Lecture 117 Full Outer Join in MySQL

Lecture 118 Full Outer Join in MS SQL

Lecture 119 Left, Right & Full Outer Join in Oracle SQL

Lecture 120 Cross Join in PostgreSQL

Lecture 121 Cross Join in MySQL

Lecture 122 Cross Join in MS SQL

Lecture 123 Cross Join in Oracle SQL

Lecture 124 Intersect and Intersect ALL in PostgreSQL

Lecture 125 Intersect in MySQL

Lecture 126 Except in PostgreSQL

Lecture 127 Except in MySQL

Lecture 128 Union in PostgreSQL

Lecture 129 Union in MySQL

Lecture 130 Intersect, Except & Union in MS SQL

Section 19: Subqueries

Lecture 131 Subqueries: Subquery in WHERE clause in PostgreSQL

Lecture 132 Subqueries: Subquery in FROM clause in PostgreSQL

Lecture 133 Subqueries: Subquery in SELECT in PostgreSQL

Lecture 134 Subqueries in MySQL

Lecture 135 Subqueries in MS SQL

Lecture 136 Subqueries in Oracle SQL

Section 20: Views and Indexes

Lecture 137 VIEWS in PostgreSQL

Lecture 138 VIEWS in MySQL

Lecture 139 VIEWS in MS SQL

Lecture 140 VIEWS in Oracle SQL

Lecture 141 INDEX in PostgreSQL

Lecture 142 INDEX in MySQL

Lecture 143 INDEX in MS SQL

Lecture 144 INDEX in Oracle SQL

Section 21: String Functions

Lecture 145 LENGTH in PostgreSQL

Lecture 146 LENGTH in Oracle SQL

Lecture 147 UPPER LOWER in PostgreSQL

Lecture 148 UPPER LOWER in Oracle SQL

Lecture 149 REPLACE in PostgreSQL

Lecture 150 REPLACE in Oracle SQL

Lecture 151 TRIM, LTRIM, RTRIM in PostgreSQL

Lecture 152 TRIM, LTRIM, RTRIM in Oracle SQL

Lecture 153 CONCATENATION in PostgreSQL

Lecture 154 CONCATENATION in Oracle SQL

Lecture 155 SUBSTRING in PostgreSQL

Lecture 156 SUBSTRING in Oracle SQL

Lecture 157 LIST AGGREGATION in PostgreSQL

Lecture 158 LIST AGGREGATION in Oracle SQL

Lecture 159 String Functions Part 1 in MySQL

Lecture 160 String Functions Part 2 in MySQL

Lecture 161 String Functions in MS SQL

Section 22: Mathematical Functions

Lecture 162 CEIL & FLOOR in PostgreSQL

Lecture 163 RANDOM in PostgreSQL

Lecture 164 SETSEED in PostgreSQL

Lecture 165 ROUND in PostgreSQL

Lecture 166 POWER in PostgreSQL

Lecture 167 Mathematical Functions in MySQL

Lecture 168 Mathematical Functions in MS SQL- Part 1

Lecture 169 Mathematical Functions in MS SQL- Part 2

Lecture 170 Mathematical Functions in Oracle SQL

Section 23: Date-Time Functions

Lecture 171 CURRENT DATE & TIME in PostgreSQL

Lecture 172 AGE in PostgreSQL

Lecture 173 EXTRACT in PostgreSQL

Lecture 174 Date-Time Functions in MySQL

Lecture 175 Date-Time Functions in MS SQL

Lecture 176 Date-Time Function in Oracle SQL

Lecture 177 Extract in Oracle SQL

Section 24: Data type conversion

Lecture 178 Data Type conversion to string in PostgreSQL

Lecture 179 Data Type conversion to Number and Date in PostgreSQL

Lecture 180 Data Type conversion in MySQL

Lecture 181 Data Type conversion in MS SQL

Section 25: PATTERN (STRING) MATCHING

Lecture 182 PATTERN MATCHING BASICS

Lecture 183 Advanced pattern matching Part 1 (REGULAR EXPRESSIONS)

Lecture 184 Advanced pattern matching Part 2 (REGULAR EXPRESSIONS)

Lecture 185 Pattern matching in MySQL

Lecture 186 Pattern matching in MS SQL

Lecture 187 Pattern matching in Oracle SQL

Section 26: Congratulations

Lecture 188 The final milestone!

Lecture 189 Bonus Lecture

Working Professionals beginning their Data journey,Anyone curious to learn and compare syntax in 4 SQL dialects - PostgreSQl, MySQL, Oracle SQL and Microsoft SQL,Students about to join their first corporate job