
This course includes our updated coding exercises so you can practice your skills as you learn.
See a demo
Learn to debug SQL server installation by uninstalling all components with admin PowerShell and msiexec /x, cleaning program files, then reinstalling to ensure a successful setup.
learn to insert data into MS SQL tables using insert into with values, specifying columns, inserting single and multiple rows, and handling strings, integers, and missing columns.
Apply where clauses in ms sql to filter results, using conditions like age = 25, age > 25, or age > 35, and select first names or columns from customer.
Explore how to combine conditions using and, or, and not in MS SQL to filter customers by age ranges and names, with practical select queries.
Learn how to alter a PostgreSQL table by adding, dropping, modifying, or renaming columns, changing data types, and managing constraints or indexes using the alter table syntax.
Apply and manage constraints in PostgreSQL by adding and dropping not null and check constraints, defining primary and foreign keys, and testing with insertions and deletions.
Troubleshoot PostgreSQL restoration by creating a new database, selecting the correct backup format (tar, dot backup, dot sql, or directory), and updating the binary path in pg admin when needed.
Learn to use the in operator in PostgreSQL to filter multiple values in one block, replacing multiple or conditions, with city examples like Philadelphia and Seattle.
Switch to the target database with use, query the customer table with select, and filter cities by Philadelphia or Seattle using or logic or the in statement.
Use the between and not between operators in MS SQL to filter data by ranges, such as ages between 20 and 30, and ship dates within start and end date.
Learn how to use the order by clause to sort results, such as California customers ordered by name, with ascending and descending options plus multiple columns.
Replace the limit clause in MS SQL with select top to cap results, compare with MySQL, and use order by to show ascending or descending ages.
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 MS SQL
Downloadable resources covering essential 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 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 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 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 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 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: Accenture, Cognizant, Dell, Microsoft, ViaVarejo etc.