
This course includes our updated coding exercises so you can practice your skills as you learn.
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Install PostgreSQL and Pgadmin from the official site, set up a database, connect securely, and write and run SQL using the Pgadmin query tool.
Celebrate this milestone in PostgreSQL and MySQL for beginners, and continue with motivated learning using subtitles, adjustable playback, offline downloads, Q&A, and an AI assistant.
Insert data into a table using the insert command, including single and multiple rows, with or without column lists; understand nulls and type constraints when values mismatch.
Learn how to use select distinct in MySQL to eliminate duplicate records and fetch unique values from a single column or from multiple columns in a table.
Learn how to retrieve data with conditions in PostgreSQL using the where clause, including numeric and textual comparisons, distinct values, and selecting specific columns.
Master PostgreSQL queries by applying multiple conditions with and, or, and not to filter data precisely, including age between 20 and 30 and not equal to 25.
Learn how to delete rows in PostgreSQL using delete from with a where clause, including single-row, multi-row, and full-table deletions, and verify results in PgAdmin.
Delete data in MySQL using delete from table where condition to remove specific rows or all rows. See examples by id and by age to illustrate affected rows.
Learn how to alter table structure in PostgreSQL using the alter table command, including adding, dropping, renaming columns, changing data types, and managing constraints and indexes on a customer table.
Back up the database into a tar file, drop the science class table by mistake, and restore from the backup to recover.
Explore how to use the in statement in MySQL to replace multiple or conditions in select, insert, update, or delete statements. See syntax and examples such as city in ('Philadelphia','Seattle').
Learn how to use the between operator in MySQL to filter records by ranges, including ages and dates, with between, not between, and equivalent comparisons.
Practice using in, between, and like with where clauses to query distinct cities in north or east regions, sales orders with values 100–500, and customer last names containing four characters.
Learn how to use aliases in MySQL with the as keyword to rename columns and tables in queries. See examples like select customer_id as serial_number, customer_name as name.
4 Reasons why you should choose this SQL course
Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses
Comprehensive - covers basic and advanced SQL statements in both, PostgreSQL and MySQL
Downloadable resources covering important topics on SQL
Your queries on SQL and anything covered in the Masterclass will be responded by the Instructor himself
A 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 MySQL 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, MySQL, database management, and various data analysis tools available in the market.
We are also the creators of some of the most popular online courses - with over 1 million enrollments and thousands of 5-star reviews like these ones:
I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! - Sikiru
Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. - Armand
Our Promise
Teaching 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!
Cheers
Start-Tech Academy
FAQ's
Why 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 MySQL. 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 money
How 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 have minor variations in the "dialect" of SQL that they use, but it's all still SQL.
Which is better, PostgreSQL or MySQL?
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 MySQL 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 MySQL: Uber, Airbnb, Netflix, Udemy, Pinterest etc.