Python and SQL are used by many technology companies, small and large. That’s because they are powerful, yet extremely flexible. Python is used in the industry for things like embedded software, web development, desktop applications, and even mobile apps. PostgreSQL allows your applications to become even more powerful by storing, retrieving, and filtering through large data sets easily.

Update: We have created the latest version of top PostgreSQL tutorials. Feel free to checkout the best PostgreSQL tutorials of the year.

PostgreSQL is arguably the most advance and powerful opensource enterprise class relational database system. It is the object relational database system and provides the most standard compliant system for the Database designers. It provides the complete support for reliable transactions that is (ACID complaint) where ACID stands for Atomicity, Consistency, Isolation and Durability.

Its advance underlying technology makes it extremely powerful and programmable. Support for concurrency is one of its key feature. It is one of the most important technology you will learn and will greatly affect the way you work with Databases. It is the ultimate RDBM system which will allow you to create complex web apps which works flawlessly even for very large number of users.

PostgreSQL is the fastest growing RDBMS and with a large and thriving community it is a great asset to learn this amazing technology.

Build 9 projects — master two essential and modern technologies in Python and PostgreSQL.

This course is your one-stop shop for everything Python and PostgreSQL, and the instructor is constantly available to support your learning and answer questions.

In this course, you will learn how to get up and running with PostgreSQL. It covers the essential first steps of setting up a PostgreSQL server and working with the graphical interface, pgAdmin.

In this course, you will learn:

the basics of PostgreSQL.

the essential first steps of setting up a PostgreSQL server.

the essential first steps of working with the graphical interface, pgAdmin.

It then shows how to work with pgAdmin to create new database objects, populate them with data, and retrieve records from the database.

If you are new to the platform (or relational databases in general), this course serves as an entry point and provides a solid foundation for further exploration in database administration.

In this course, you will learn how to use PostgreSQL to author queries that retrieve information from databases. Using SQL, you’ll learn how to select the data you need, filter that data, and gather data from various tables.

In this course, you will learn how to:

use PostgreSQL to author queries that retrieve information from databases.

select the data you need, filter that data, and gather data from various tables.

query data using PostgreSQL and its pgAdmin tool.

You will get a comprehensive introduction of how to query data using PostgreSQL and its pgAdmin tool. First, you will learn the basic structure of a relational database.

Next, you will discover how to select data from tables, apply criteria and filters to limit your results, and enhance these skills by retrieving data from multiple tables.

Finally, you will explore basic aggregation functions and be exposed to ANSI-compliant SQL. When you are finished with this course, you will have the skills and knowledge of PostgreSQL necessary to easily retrieve data from relational databases.

Master SQL and PostgreSQL by Creating Databases and Writing SQL Queries using PostgreSQL.

SQL is one of the most in-demand tech skills across many industries so learning SQL is one of the best ways to boost your career. After taking this course you will be comfortable putting SQL and PostgreSQL on your resume/CV.

PostgreSQL is one of the most popular and widely used database systems in the world. Companies who use PostgreSQL include Apple, Cisco, Fujitsu, Skype and IMDb.

You will learn how to:

Retrieve data from database tables using SQL SELECT queries.

Use WHERE clauses in SQL to filter your data.

ORDER your SQL queries.

LIMIT the number of rows returned from your SQL queries.

Use SQL JOINs to retrieve data from multiple tables.

Use SQL aggregate functions and group data.

Use SQL to CREATE, ALTER and DROP databases and tables.

Use SQL to INSERT, UPDATE and DELETE data from tables.

Learn Both SQL Server & PostgreSQL By Doing. Enhance Your Data Analytics Career With Real World Data Science Exercises.

SQL stands for Structured Query Language and this is one of the main tools used to organize databases, input data into them and extract it on request.

In this course you will learn how to create queries in a popular variation of SQL called PostgreSQL.

And even if at your workplace you are using a different variation (e.g. Oracle, SQL Server or MySQL), you will find that the skills you learn in this course are easily transferable.

The unique advantage of this course is that in addition to learning SQL you will also master the concepts of Database Design.

It will cover off topics such as:

- OLAP vs OLTP databases (Online Analytics Processing & Online Transaction Processing): you will understand exactly how and why the designs of these two types of Databases differ

Normalization of Databases: we will show you the theory behind normalization AND together we will practice how to normalize a Database step-by-step

This course will teach you how to use PostgreSQL to expand your queries to filter and combine data. Using SQL, you will learn how to join data from multiple tables, combine result sets, and use aggregate and window functions.

In this course, you will learn how to:

expand your queries to retrieve additional data and achieve your desired results.

use joins to retrieve data from multiple tables.

partition and analyze data.

First, you will learn the fundamentals of data types and how to work with string functions. Next, you will discover aggregate functions and how to filter aggregate results.

Then, you will explore how to use joins to retrieve data from multiple tables. Set theory and unions will also be used to combine multiple result sets.

Subqueries and common table expressions are introduced to help conduct more sophisticated analyses using multiple filter criteria.

Finally, you will figure out window functions and how to partition and analyze data. When you are finished with this course, you will have the skills and knowledge of PostgreSQL necessary to begin writing more complex queries to analyze data from multiple sources.

The Ultimate Guide to master the world most Advance Open Source Database.

Our course will teach you this complex system in the easiest of ways. It will start with basic intro to RDBMS system with a emphasis on PostgreSQL. We will also discuss the main differences between MySQL and PostGreSQL the two most popular open source RDBMS. By the end of this course you will be able to…

Use PostgreSQL in your projects

Understand the important features of Postgres

Understand the Object Relational model

Master SQL which can be used across DB systems

Build actual web apps using PostgreSQL

So hop on and be the master of one of the hottest RDBM system

PostgreSQL Tutorial: What you need to know to get started with relational databases in PostgreSQL.

PostgreSQL is an awesome open source relational database, that’s fast and easy to use. We’ve used it here at my company in a few large projects with great performance.

In this beginner level PostgreSQL tutorial course I’ll be going over all the basic concepts of relational databases and dive into how to use PostgreSQL. No previous database experience is required for this PostgreSQL tutorial course — all the basic concepts like tables and relations are covered. It’s thorough and meant to help anyone starting out with databases.

The PostgreSQL tutorial course covers database concepts, database installation and connection, client software used to connect to and manage the database (pgAdminIII) and also the main SQL statements and how they work with PostgreSQL.

Learn Practical Hands-on Advanced PostgreSQL Queries and Data Analysis.

PostgreSQL is commonly known as Postgres and it is also open source database. There is an increasing need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed to help you learn how to perform common relational database and data science tasks, including writing advanced queries,data analysis , finding, exploration, and extraction within relational databases.

What you will learn includes:

Introduction PostgreSQL Triggers, Creating Triggers, Managing Triggers, Introduction to Views, How to create views, Modifying and Removing Views, Introduction to Updatable Views, Creating Updatable Views, Introduction to Materialized Views, Creating Materialized Views, Introduction to Stored Procedures, Introduction to Aggregate Functions, Illustrating various types of Aggregate functions, Introduction to Analytic Functions, Illustrating various Analytic functions, Row Number Functions, Using various types of Operators, Introduction to Table Joins, Using various types of joins, Windowing functions for working with ordered data sets, Installing PostgreSQL, Verify postgresql installation, Postgresql INNER JOIN, Postgres LIKE Operator, Postgresql OR Operator, Server service, Sequences, Schema, Retrieving all Data from Table, Loading sample database, Postgresql UNION Operator, PostgreSQL UNION ALL Operator, PostgreSQL FULL OUTER JOIN, PostgreSQL CROSS JOIN, PostgreSQL combining AND | OR Operator, PostgreSQL AND Operator, PostgreSQL NATURAL JOIN Operator, PostgreSQL EXCEPT Operator, PostgreSQL INTERSECT Operator, PostgreSQL Left Join, PostgreSQL IN Operator,and Cast and Operators

The course will teach you how to aggregate data,analyse data ,retrieve data from multiple tables using table joins and write more advanced queries.

A-Z guide to design and implement partitions in PostgreSQL ( Postgres ) Database.

Learn the key terminologies, basic concepts, implementation techniques that you will need to build a, fully functional partitioned tables with PostgreSQL database. Every concepts or topics are covered with hands on demo session, along with English Caption / Subtitles to provide better clarity.

Handling huge volume of data / big tables in RDBMS

There are plenty of opportunities in data domain, and being able to learn and appreciate the importance of data volume handling through Partitions in RDBMS, will give you a confidence to tackle the challenges that you encounter in real time projects.

Content and Overview

Understand what, when and how to Partition.

Gain confidence in implementing Partitions in Production system

Know how to write optimized queries on the partitioned tables

Be able to handle maintenance tasks related to partitions

Understand how to automate all the tasks related to partitions

You can test the knowledge gained through the sessions by attending quizzes and every use case mentioned in the course are explained with demo sessions thereby enabling you to practice the newly learned skills.

You can also download the source code files used during the demo sessions, to practice at your end. The source code files are available for download as part of the last section named “Resources”.

Learners who complete this course will gain the knowledge and confidence to implement a fully functional and automated Partitioning solutions in the projects.