Postgresql And Ms Sql For Beginners

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

What you'll 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

Requirements

Just a PC with any web browser

Description

4 Reasons why you should choose this SQL courseCarefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businessesComprehensive - covers basic and advanced SQL statements in both, PostgreSQL and MS 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 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 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 PostgreSQL, SQL Server, SQLite, and MS 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.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: Uber, Airbnb, Netflix, Udemy, Pinterest 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 MS SQL

Lecture 6 Installing and Setting up MS SQL

Lecture 7 Debugging the installation process

Section 5: Fundamental SQL statements

Lecture 8 CREATE in PostgreSQL

Lecture 9 CREATE in MS SQL

Lecture 10 INSERT in PostgreSQL

Lecture 11 INSERT in MS SQL

Lecture 12 Import data from File in PostgreSQL

Lecture 13 Import data from File in MS SQL

Lecture 14 SELECT statement in PostgreSQL

Lecture 15 SELECT statement in MS SQL

Lecture 16 SELECT DISTINCT in PostgreSQL

Lecture 17 SELECT DISTINCT in MS SQL

Lecture 18 WHERE in PostgreSQL

Lecture 19 WHERE in MS SQL

Lecture 20 Logical Operators in PostgreSQL

Lecture 21 Logical Operators in MS SQL

Lecture 22 UPDATE in PostgreSQL

Lecture 23 UPDATE in MS SQL

Lecture 24 DELETE in PostgreSQL

Lecture 25 DELETE in MS SQL

Lecture 26 ALTER Part 1 in PostgreSQL

Lecture 27 ALTER Part 2 in PostgreSQL

Lecture 28 ALTER in MS SQL

Section 6: Restore and Back-up in PostgreSQL

Lecture 29 Restore and Back-up

Lecture 30 Debugging restoration issues

Lecture 31 Creating DB using CSV files

Lecture 32 Debugging summary and Code for CSV files

Section 7: Restore and Back-up in MS SQL

Lecture 33 Restoring and Back-up in MySQL

Lecture 34 Restore and Back-up in MS SQL

Section 8: Selection commands: Filtering

Lecture 35 IN in PostgreSQL

Lecture 36 IN in MS SQL

Lecture 37 BETWEEN in PostgreSQL

Lecture 38 BETWEEN in MS SQL

Lecture 39 LIKE in PostgreSQL

Lecture 40 LIKE in MS SQL

Section 9: Selection commands: Ordering

Lecture 41 Side Lecture: Commenting in SQL

Lecture 42 ORDER BY in PostgreSQL

Lecture 43 ORDER BY in MS SQL

Lecture 44 LIMIT in PostgreSQL

Lecture 45 LIMIT in MS SQL

Section 10: Aliases

Lecture 46 AS in PostgreSQL

Lecture 47 AS in MS SQL

Section 11: Aggregate Commands

Lecture 48 COUNT in PostgreSQL

Lecture 49 SUM in PostgreSQL

Lecture 50 AVERAGE in PostgreSQL

Lecture 51 MIN & MAX in PostgreSQL

Lecture 52 Aggregate Functions in MS SQL

Section 12: Group By Commands

Lecture 53 GROUP BY in PostgreSQL

Lecture 54 GROUP BY in MS SQL

Lecture 55 HAVING in PostgreSQL

Lecture 56 HAVING in MS SQL

Section 13: Conditional Statement

Lecture 57 CASE WHEN in PostgreSQL

Lecture 58 CASE WHEN in MS SQL

Section 14: JOINS

Lecture 59 Introduction to Joins

Lecture 60 Concepts of Joining and Combining Data

Lecture 61 Preparing the data

Lecture 62 Inner Join in PostgreSQL

Lecture 63 Inner Join in MS SQL

Lecture 64 Left Join in PostgreSQL

Lecture 65 Left Join in MS SQL

Lecture 66 Right Join in PostgreSQL

Lecture 67 Right Join in MS SQL

Lecture 68 Full Outer Join in PostgreSQL

Lecture 69 Full Outer Join in MS SQL

Lecture 70 Cross Join in PostgreSQL

Lecture 71 Cross Join in MS SQL

Lecture 72 Intersect and Intersect ALL in PostgreSQL

Lecture 73 Except in PostgreSQL

Lecture 74 Union in PostgreSQL

Lecture 75 Intersect, Except & Union in MS SQL

Section 15: Subqueries

Lecture 76 Subqueries: Subquery in WHERE clause in PostgreSQL

Lecture 77 Subqueries: Subquery in FROM clause in PostgreSQL

Lecture 78 Subqueries: Subquery in SELECT in PostgreSQL

Lecture 79 Subqueries in MS SQL

Section 16: Views and Indexes

Lecture 80 VIEWS in PostgreSQL

Lecture 81 VIEWS in MS SQL

Lecture 82 INDEX in PostgreSQL

Lecture 83 INDEX in MS SQL

Section 17: String Functions

Lecture 84 LENGTH in PostgreSQL

Lecture 85 UPPER LOWER in PostgreSQL

Lecture 86 REPLACE in PostgreSQL

Lecture 87 TRIM, LTRIM, RTRIM in PostgreSQL

Lecture 88 CONCATENATION in PostgreSQL

Lecture 89 SUBSTRING in PostgreSQL

Lecture 90 LIST AGGREGATION in PostgreSQL

Lecture 91 String Functions in MS SQL

Section 18: Mathematical Functions

Lecture 92 CEIL & FLOOR in PostgreSQL

Lecture 93 RANDOM in PostgreSQL

Lecture 94 SETSEED in PostgreSQL

Lecture 95 ROUND in PostgreSQL

Lecture 96 POWER in PostgreSQL

Lecture 97 Mathematical Functions in MS SQL- Part 1

Lecture 98 Mathematical Functions in MS SQL- Part 2

Section 19: Date-Time Functions

Lecture 99 CURRENT DATE & TIME in PostgreSQL

Lecture 100 AGE in PostgreSQL

Lecture 101 EXTRACT in PostgreSQL

Lecture 102 Date-Time Functions in MS SQL

Section 20: Data Type conversion

Lecture 103 Data Type conversion to string in PostgreSQL

Lecture 104 Data Type conversion to Number and Date in PostgreSQL

Section 21: PATTERN (STRING) MATCHING

Lecture 105 PATTERN MATCHING BASICS

Lecture 106 Advanced pattern matching Part 1 (REGULAR EXPRESSIONS)

Lecture 107 Advanced pattern matching Part 2 (REGULAR EXPRESSIONS)

Lecture 108 Pattern matching in MS SQL

Section 22: Congratulations

Lecture 109 The final milestone!

Lecture 110 Bonus Lecture

Working Professionals beginning their Data journey,Anyone curious to learn and compare both PostgreSQL and MS SQL,Students about to join their first corporate job