Mastering Postgresql Learning By Real Examples

What you'll learn
Learn SQL Concepts with PostgreSQL.
Write SQL queries to retrieve data.
Gain a comprehensive understanding of PostgreSQL, including topics such as window functions, aggregates, and joins.
Understand how to perform date-related calculations and manipulations in PostgreSQL
Learn how to work with Arrays and JSON in PostgreSQL
Learn how to create databases, tables, columns and data using PostgreSQL
Requirements
SQL experience is not needed.
You need a PC, Mac, or a Desktop Computer
Make sure you have PostgreSQL Installed locally in your computer or in a docker image.
Make sure to install tools such as pgAdmin, DBeaver, or Datagrip to help you write queries.
Description
This is a course intended for software engineers and data analysts that want to learn more about Relational Databases and SQL It covers both basic and advanced SQL concepts and theories. The course is intended for both Junior and Senior Level Engineers and is purely focused on SQL and writing queries.PostgreSQL will be used in this course. But the theories you learn can be applied in any Relational Database such as SQL Server or MySqlAll the sections are explained by one or more examples. I used a sample database that had students, courses, registrations and instructors records. Learning by doing examples is a much better technique than just studying a theory.This course contains quizzes and exercises. You'll get immediate practice on all of the different topics and features that you learn!You will learn аbout:Selecting DataAggregate FunctionsBuilt in FunctionsJoinsDatesSchema and DataCRUD OperationsTransactionsArrays in PostgresJSONs in PostgresAnd More!Data is the core of an application. Any application that you see on your phone or on your website uses some storage somewhere. Having a good database design and queries is very crucial for any application. This course focuses mainly on the querying part. At the end of the course, you should be able to:Master basic query syntax and functionality: Students will learn the syntax of basic SQL queries, including SELECT, FROM, WHERE, GROUP BY, and ORDER BY. They will also gain an understanding of how to filter and sort data, and how to use basic functions and operators.Develop proficiency in advanced querying techniques: Students will learn how to write more complex queries, including subqueries, inner and outer joins, and aggregations. They will also learn how to use advanced functions and operators such as CASE statements, window functions, and regular expressions.Optimize queries for performance: Students will learn how to optimize queries for faster execution, including indexing strategies, query planning and execution, and common performance issues to avoid.Apply queries to real-world scenarios: Students will learn how to apply their query skills to solve real-world problems. They will also explore best practices for data modeling and query design to ensure their queries are accurate and efficient.
Overview
Section 1: Introduction
Lecture 1 Prerequisites
Lecture 2 Working Data
Section 2: Querying
Lecture 3 Select
Lecture 4 Select Multiple
Lecture 5 Select Constants
Lecture 6 Order By
Lecture 7 Limit and Offset
Lecture 8 Where Statement
Lecture 9 IS NULL
Lecture 10 Or/And
Lecture 11 Not
Lecture 12 Between
Lecture 13 In
Lecture 14 Any/Sum
Lecture 15 Alias
Lecture 16 Exists
Lecture 17 Distinct
Lecture 18 Like
Lecture 19 Case When
Section 3: Querying Exercises
Section 4: String Operators
Lecture 20 Lower - Upper
Lecture 21 Initcap
Lecture 22 Concat
Lecture 23 Left
Lecture 24 Right
Lecture 25 Substring
Lecture 26 Length
Lecture 27 Replace
Lecture 28 Cast
Lecture 29 Trim
Lecture 30 Split_Part
Section 5: Function Exercises
Section 6: Aggregates
Lecture 31 Introduction
Lecture 32 Min
Lecture 33 Max
Lecture 34 Sum
Lecture 35 Avg
Lecture 36 Count
Lecture 37 Filter
Lecture 38 Group By
Lecture 39 Group By Multiple Columns
Lecture 40 Having
Lecture 41 Over
Section 7: Aggregates Exercises
Section 8: Joins
Lecture 42 Union
Lecture 43 Union All
Lecture 44 Left Join
Lecture 45 Inner Join
Section 9: Joins Exercises
Section 10: Dates
Lecture 46 Current Datetime
Lecture 47 AT TIME ZONE
Lecture 48 EXTRACT
Lecture 49 DATE_PART
Lecture 50 DATE_TRUNC
Lecture 51 Date Differences
Lecture 52 AGE
Lecture 53 TO_CHAR
Lecture 54 TO_DATE
Lecture 55 INTERVAL
Lecture 56 make_interval
Section 11: Working with JSON
Lecture 57 Inserting JSON as a Value
Lecture 58 Selecting a JSON Property
Lecture 59 Selecting a Sub Property
Lecture 60 Json Aggregate
Lecture 61 Json Build Object
Section 12: Working with Arrays
Lecture 62 Introduction
Lecture 63 UNNEST
Lecture 64 SLICING
Lecture 65 ARRAY_APPEND
Lecture 66 ARRAY_LENGTH
Lecture 67 Searching an Array
Lecture 68 ARRAY_AGG
Lecture 69 STRING_TO_ARRAY
Section 13: Window Functions
Lecture 70 Introduction
Lecture 71 ROW_NUMBER
Lecture 72 PARTITION BY
Lecture 73 NTILE
Section 14: Schema and Data
Lecture 74 Introduction
Lecture 75 Database
Lecture 76 Tables
Lecture 77 Columns
Lecture 78 Columns Attributes - DEFAULT
Lecture 79 Columns Attributes - NOT NULL
Lecture 80 Columns Attributes- UNIQUE
Lecture 81 Columns Attributes - CHECK
Lecture 82 Primary Keys
Lecture 83 Primary Keys - Multiple
Lecture 84 Foreign Keys
Lecture 85 Foreign Keys - On Delete
Lecture 86 Indexes
Lecture 87 IF NOT EXISTS
Lecture 88 Rows
Lecture 89 Rows: Insert Multiple
Lecture 90 Rows: Handle onConflict
Lecture 91 Transactions
Section 15: Extras
Lecture 92 Greatest/Least
Lecture 93 Nested Queries
Lecture 94 Coalesce
Lecture 95 Except
Lecture 96 CTE
Lecture 97 Generate Series
Section 16: Conclusion
Lecture 98 Where To Go Next
Section 17: Easy Exercises
Section 18: Medium Exercises
Section 19: Hard Exercises
Backend Engineers,Data Scientists,Data Analysts,Software Engineers,Full Stack Engineers

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