When it comes to learning Postgresql, there are a variety of online courses available to choose from. With so many options, it can be difficult to determine which courses are the most effective in teaching this popular relational database management system. To help narrow down the choices, we have evaluated some of the best Postgresql courses online, taking into account factors such as course content, instructor expertise, and user reviews. This article aims to provide a comprehensive overview of the top Postgresql courses available on the web, to assist you in selecting the course that best fits your learning goals and preferences.
Here’s a look at the Best Postgresql Courses and Certifications Online and what they have to offer for you!
10 Best Postgresql Courses and Certifications Online
- 10 Best Postgresql Courses and Certifications Online
- 1. SQL Masterclass: SQL for Data Analytics by Start-Tech Academy (Udemy) (Our Best Pick)
- 2. SQL & PostgreSQL for Beginners: Become an SQL Expert by Jon Avis – SQL Instructor (Udemy)
- 3. Learn SQL Using PostgreSQL: From Zero to Hero by Will Bunker (Udemy)
- 4. The Complete Python/PostgreSQL Course 2.0 by Codestars by Rob Percival, Jose Salvatierra, Teclado by Jose Salvatierra (Udemy)
- 5. The Complete Python/PostgreSQL Course 2.0 by Codestars by Rob Percival, Jose Salvatierra, Teclado by Jose Salvatierra (Udemy)
- 6. PostgreSQL Bootcamp : Go From Beginner to Advanced, 60+hours by Adnan Waheed (Udemy)
- 7. Intro To PostgreSQL Databases With PgAdmin For Beginners by John Elder (Udemy)
- 8. PostgreSQL v12 Database Administration on Windows and Linux by Sadiq Basha (Udemy)
- 9. Node, SQL, & PostgreSQL – Mastering Backend Web Development by David Joseph Katz (Udemy)
- 10. PostgreSQL High Performance Tuning Guide by Lucian Oprea (Udemy)
1. SQL Masterclass: SQL for Data Analytics by Start-Tech Academy (Udemy) (Our Best Pick)
The SQL Masterclass offered by Start-Tech Academy is a course designed to teach participants all the SQL skills they need for data analysis in businesses. The comprehensive curriculum covers basic to advanced SQL statements, PostgreSQL, mySQL, interview tips, and performance tuning tips. Students can expect to gain a thorough understanding of SQL and data analysis tools upon completion of the course.
The instructors of the course, Abhishek and Pukhraj, have over a decade of experience in teaching data science, machine learning, and advanced SQL, PostgreSQL, mySQL, and database management. They are also the creators of some of the most popular online courses, with over 150,000 enrollments and thousands of 5-star reviews.
The course includes practice sheets, quizzes, and assignments for each lecture to reinforce learning. Participants can expect to gain confidence in using SQL for data analytics as a career opportunity. The course also offers a verifiable certificate of completion.
The FAQ section addresses common questions such as why to learn SQL, the difference between SQL and PostgreSQL, and how much time it takes to learn SQL. The course is based on the pillars of learning: Know, Do, and Review. In addition, the bonus lectures cover important topics from the view of job interviews and Vivas.
Overall, the SQL Masterclass offered by Start-Tech Academy is a well-rounded course that teaches participants everything they need to know about SQL for data analytics. With ample practice exercises and downloadable resources, students can expect to gain a thorough understanding of SQL and its applications.
2. SQL & PostgreSQL for Beginners: Become an SQL Expert by Jon Avis – SQL Instructor (Udemy)
This course titled “SQL & PostgreSQL for Beginners: Become an SQL Expert” is instructed by Jon Avis, who is an expert in SQL. This course is designed to teach students how to become proficient in SQL and PostgreSQL by writing SQL queries using PostgreSQL and PgAdmin 4. The course has a bestseller rating, and students who complete it will be able to add SQL and PostgreSQL to their resumes/CVs.
SQL is in high demand across many industries, making it one of the best skills to boost a career. In the age of Big Data and Data Analysis, the demand for employees with SQL skills has never been higher and is projected to increase in the future. PostgreSQL is the world’s most advanced open-source relational database with a reputation for reliability, data integrity, and robustness. PostgreSQL is used by companies such as Apple, Cisco, Spotify, Fujitsu, Skype, Netflix, and IMDb. PostgreSQL was the fastest-growing database for the third year in a row in 2019.
The course has received positive feedback from students who found the structure well set up, pacing perfect, exercises and solutions helpful, and the instructor knowledgeable and easy to follow. By the end of the course, students will know how to create a relational database, create, alter and delete tables and data, retrieve data from a database using select queries, filter data, use aggregate functions, and relate tables together using database relationships. They will also learn how to use SQL join queries to retrieve data from multiple tables in a single query, master complex SQL subqueries, and apply SQL string functions to data in PostgreSQL.
The course includes a step-by-step video on how to install and set up PostgreSQL, and the setup is free. SQL code for each video is included as a resource, along with SQL exercises and video solutions to help students improve their SQL skills. The instructor will actively answer any questions in the Q&A section, and the course will be continually updated with more sections in the future.
3. Learn SQL Using PostgreSQL: From Zero to Hero by Will Bunker (Udemy)
The course “Learn SQL Using PostgreSQL: From Zero to Hero” is offered by instructor Will Bunker. The course aims to teach users PostgreSQL starting from basics to advanced features such as triggers, PL/pgSQL functions, Window Functions, and CTE.
The course creator, Will Bunker, emphasizes the importance of learning SQL, as it is a valuable skill in building and maintaining large databases. The course includes topics like basic selection statements, joining multiple tables, grouping records, inserting, updating, and deleting records, creating tables and indexes, subqueries, table constraints, and sequences.
The course also covers other advanced features such as CTE, views, conditional expressions, window functions, working with date, time and intervals, creating SQL and PL/pgSQL functions, and triggers. In addition, the course also covers array and composite data types, transactions and concurrency control, importing CSV, JSON and JSONB data types, managing databases, backups and recovery, and security using roles, users, and permissions.
The course is divided into multiple sections: Introduction, Installing PostgreSQL and pgAdmin, Simple Selection of All Records, Using WHERE to Select Records, Schemas, Using psql To Connect To Postgres, Intermediate SELECT Statements, Joining multiple tables together, Grouping and Aggregation Functions, Combining Queries, Subqueries, Modifying Data In Tables: INSERT, UPDATE and DELETE, Indexes and Performance Tuning, Database Design and Normalization, Creating and Modifying Tables, Table Constraints, Sequences, CTE – Common Table Expressions, Views, Conditional Expressions, Using Date/Time In PostgreSQL, Window Functions, Composite Types, SQL Functions and Procedures, Transactions And Concurrency Control, Array Data Type, PL/pgSQL – SQL Procedural Language, Triggers, Importing CSV, JSON and JSONB Data Types, Managing Databases, Backups and Recovery, Security Using Roles, Users and Permissions, and Introduction To PostGIS.
4. The Complete Python/PostgreSQL Course 2.0 by Codestars by Rob Percival, Jose Salvatierra, Teclado by Jose Salvatierra (Udemy)
The Complete Python/PostgreSQL Course 2.0 is offered by Codestars, Jose Salvatierra, and Teclado by Jose Salvatierra. The course covers mastering PostgreSQL and using it in Python applications. Upon completion, students will have the confidence to add both skills to their resume/CV. The course content is relevant to other database systems like MySQL, Microsoft SQL Server, and Oracle.
The course includes working with different types of databases (in-memory, SQLite, and PostgreSQL) and knowing when to use each in Python apps. Students will build a programming journal project to add a SQLite database to their Python application, improve database design incrementally, and model different relationships with PostgreSQL. They will also learn to reduce errors by applying database changes using database migrations with Python and alembic, and build a polling app to learn about advanced data analysis with GROUP BY, PostgreSQL window functions, and nested queries. Additionally, students will work with dates and times in PostgreSQL, avoid common timezone pitfalls, structure Python apps like a professional, and produce data analysis reports and charts using matplotlib with PostgreSQL data.
The course also covers advanced PostgreSQL topics like user-defined functions, stored procedures, locking, and async database connections. The lectures are concise and compact, with dozens of diagrams to explain database concepts, and code-along videos. Students will develop the projects themselves to gain hands-on experience and master PostgreSQL. Throughout the course, data sets with challenges and exercises are provided for practice.
Upon completing the course, students will be able to extend Python applications with database functionality using PostgreSQL, answer complex questions using data, and list PostgreSQL as one of their strongest skills. The course is designed to be no-nonsense and no-frills, with a focus on helping students understand concepts fully and quickly.
5. The Complete Python/PostgreSQL Course 2.0 by Codestars by Rob Percival, Jose Salvatierra, Teclado by Jose Salvatierra (Udemy)
The Complete Python/PostgreSQL Course 2.0, brought to you by Codestars by Rob Percival, Jose Salvatierra, and Teclado by Jose Salvatierra, is designed to help students leverage PostgreSQL and databases in their Python development. This course covers everything relevant to other database systems, including MySQL, Microsoft SQL Server, or Oracle. Upon completion, students will feel confident in adding both Python and PostgreSQL to their resume/CV. The course includes working with different types of databases, building a programming journal project, modeling relationships, reducing errors using database migrations, and advanced data analysis. Students will also tackle advanced PostgreSQL topics such as User-Defined Functions, Stored Procedures, Locking, and Async database connections.
The course is designed to be concise and compact, with no wasted time, so students can quickly master PostgreSQL. The course includes diagrams to explain database concepts, code-along videos, and hands-on projects. There are also data sets with challenges and exercises to practice what has been learned. The instructor has over 8 years of teaching experience and provides the best way for students to understand concepts fully and quickly.
Upon completion of the course, students will be able to extend their Python applications with database functionality using PostgreSQL, answer complex questions using data, and generate reports. The course includes an introduction, a full Python refresher, building a programming journal with Python & SQL, a movie watchlist app with Python & SQL, introduction to PostgreSQL, migrating the app, building a poll app & advanced SQL, working with dates and times, Python and advanced PostgreSQL with psycopg2, and charting data from tables using matplotlib. Students can check out the free preview videos to learn more and try out the course.
6. PostgreSQL Bootcamp : Go From Beginner to Advanced, 60+hours by Adnan Waheed (Udemy)
The PostgreSQL Bootcamp course is a comprehensive educational resource designed for individuals seeking to acquire a broad understanding of PostgreSQL. The course is instructed by Adnan Waheed and spans over 60 hours. The course is segmented into over 50 sections and covers a wide range of topics such as Subqueries, CTEs, Indexes, PL/SQL, PL/pgSQL, Triggers, Cursors, Partitions, Views, JSON, Window Functions, and much more.
The course is designed to start with basic concepts and progress to more advanced topics. Students will learn how to apply SQL commands to store, update, and retrieve information, as well as perform simple to complex SQL queries. Additional topics covered include creating and modifying tables, using UPSERT, data type conversions, user-defined data types, table and column constraints, custom sequences, parsing data, aggregate functions, date/time data types, interval handling, grouping data, joins, crosstab reports, and more.
Other topics covered include PostgreSQL schemas, ownership, security privileges, constructing arrays and ranges, JSONB objects and indexing, query performance optimization, common table expressions, recursive CTEs, making data into group sets, regular expressions for text patterns, text searches, table partitioning, server programming with SQL and PL/pgSQL, stored procedures, extending the PostgreSQL ecosystem with custom indexes and aggregate functions, executing triggers, using cursors, and managing PostgreSQL security.
The course culminates in an exploration of PostgreSQL internals, detailing how data gets stored and how to manage tables effectively. Students will get hands-on experience running hundreds of queries on sample databases like HR, Northwind, Stock Markets, and Word Trades database. By the end of the course, students will have acquired a comprehensive understanding of PostgreSQL and will be able to apply their knowledge to real-world database and query scenarios.
7. Intro To PostgreSQL Databases With PgAdmin For Beginners by John Elder (Udemy)
The “Intro To PostgreSQL Databases With PgAdmin For Beginners” course is designed to teach students how to utilize PostgreSQL databases with the PgAdmin 4 interface. PostgreSQL is a popular choice for everything from data analytics to basic web development. The course covers topics such as installing pgAdmin and PostgreSQL, creating table columns, adding data to a table, and using PostgreSQL select statements and wildcards. Other topics include PostgreSQL foreign keys, inner join, and join where hack, as well as PostgreSQL backup and restore database.
The course is suitable for beginners and requires no prior knowledge or special skills. The instructor, John Elder, has nearly 40 courses on Udemy and has been developing online content for over 20 years. The course is backed by a 100% money-back guarantee.
The course is broken down into multiple sections, including an introduction. Other sections cover topics such as pgAdmin overview, PostgreSQL insert into, update, and delete statements, pgAdmin menu walkthrough, and importing and exporting tables. Students will also learn how to utilize PostgreSQL limit, order by, and where clause, and how to create and delete tables.
8. PostgreSQL v12 Database Administration on Windows and Linux by Sadiq Basha (Udemy)
The PostgreSQL v12 Database Administration course is aimed at providing learners with an in-depth knowledge of PostgreSQL Database Administration. The course includes real-time examples and covers a wide range of topics such as PostgreSQL Process and Memory Architecture, Database Directory Layout, and Working with PostgreSQL Objects.
PostgreSQL is an advanced, enterprise class open source Object-Relational Database Management System that offers robust feature sets including Multi-Version Concurrency Control, point in time recovery, and granular access controls. It supports international character sets, multi-byte character encodings, and Unicode. PostgreSQL is highly scalable and can manage large quantities of data and accommodate a large number of concurrent users.
The course covers topics such as Installation of PostgreSQL v12 on Windows and Linux, Pgadmin 4, and Journey into PostgreSQL v13. It provides a step-by-step approach for creating objects such as Database, User, and Schema, and covers Privileges for each object. Other important topics covered are CRUD Operations, Table Inheritance and Partitioning, and Backup and Restore.
The course also covers Maintenance in PostgreSQL, including Updating Planner Statistics, Vacuum, Routine Reindex & Cluster, Data Fragmentation, and Transaction ID wraparound. Additionally, the course contains a Bonus Module that provides information on the new features of PostgreSQL v13.
The course is structured into different sections such as Introduction, PostgreSQL Architecture, Database Cluster, Configuration Files, and Using Psql Command Line Interface. The course is designed to provide learners with a comprehensive understanding of PostgreSQL Database Administration, from installation to maintenance, and prepares them to become experts in this field.
9. Node, SQL, & PostgreSQL – Mastering Backend Web Development by David Joseph Katz (Udemy)
The Node, SQL, & PostgreSQL – Mastering Backend Web Development course teaches students how to build Node, SQL, and PostgreSQL applications by constructing three full projects. The skills learned can make individuals in demand software engineers, as Node, SQL, and PostgreSQL are key languages and frameworks to know in today’s web development industry. Throughout the course, various industry techniques are taught, and students learn how to use libraries such as Express and Pg.
The course is project-based, which allows students to become familiar with Node, SQL, and PostgreSQL while building practical applications. A server is built using the native Node modules, an API with a complete set of HTTP request methods is created using Node and Express, and finally, students learn how to create Node apps that work with advanced databases by combining all previous concepts with Node and PostgreSQL.
Being able to build backend web applications is highly sought after in the talent pool, making this course an excellent opportunity for those looking to enhance their skills. The backend is the heart of services and products, making it a crucial skill sought after by top software companies like Google, Facebook, and Microsoft.
10. PostgreSQL High Performance Tuning Guide by Lucian Oprea (Udemy)
This Udemy course titled “PostgreSQL High Performance Tuning Guide” is designed to provide both theoretical and practical knowledge to implement a high-performance Postgres. The course is aimed at users who have basic familiarity with database objects and is structured to help build dynamic database solutions for enterprise applications using the latest releases of PostgreSQL.
The course covers advanced aspects of PostgreSQL including logical replication, database clusters, performance tuning, and monitoring. It also focuses on configuring Postgres for high speed by looking at transactions, locking, indexes, and optimizing queries. The course is suitable for beginners as well as advanced users who can benefit from learning new optimization approaches.
The course is divided into several sections that cover various topics in detail. The first section explains the PostgreSQL architecture and how shared buffers work with the operating system cache. It also covers the importance of setting checkpoints carefully to limit crash recovery time while not impacting the rest of the system’s performance.
The next section focuses on configuring vacuum for performance, explaining why the vacuum process should never be avoided, and how steady low-intensity vacuum work using the autovacuum feature of the database can help clean up dead rows.
The course also covers how to use an index efficiently, including bitmap scans, and index optimization tips such as implementing custom strategies for particular applications, covering indexes, and defining indexes on foreign keys.
The section on making use of statistics explains how to find and sort queries responsible for most of the load on the system. The section on spotting query problems explains how to read query plans and understand how each of the underlying node types works. It also explores portions of the query that had the longest execution time and how to deal with estimated and actual rows causing major planning issues.
The course also covers how to set shared_buffers for better performance, including the importance of increasing the default allocation and sizing it as only a moderate percentage of total RAM. The section on scalability and replication explores how replication can improve the performance of a software system by distributing the load on several database servers.