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
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