PostgreSQL and MS SQL for Beginners
Learn most popular SQL dialects, PostgreSQL & MSSQL. Learn SQL concepts, practice & compare syntax of PostgreSQL & MSSQL
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Instructor(s): Start-Tech Trainings
Last update: None
What you’ll learn
- How to write SELECT queries to fetch relevant data in PostgreSQL and MS SQL
- How to filter and sort the data using WHEN, logical operators and ORDER BY
- How to group and aggregate data in PostgreSQL and MS SQL
- How to apply joins and combining queries in PostgreSQL and MS SQL
- String, mathematical, date-time functions and pattern matching in PostgreSQL and MS SQL
- Understanding of VIEWS and INDEXES in PostgreSQL and MS SQL
- How to write subqueries in PostgreSQL and MS SQL
- Just a PC with any web browser
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.
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!
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: Uber, Airbnb, Netflix, Udemy, Pinterest etc.
Who this course is for
- Working Professionals beginning their Data journey
- Anyone curious to learn and compare both PostgreSQL and MS SQL
- Students about to join their first corporate job
- Course Resources
- Course resources
- This is a milestone!
- Setting up PostgreSQL and PGAdmin
- Installing PostgreSQL and pgAdmin in your PC
- If pgAdmin is not opening…
- Installing MS SQL
- Installing and Setting up MS SQL
- Debugging the installation process
- Fundamental SQL statements
- CREATE in PostgreSQL
- CREATE in MS SQL
- INSERT in PostgreSQL
- INSERT in MS SQL
- Import data from File in PostgreSQL
- Import data from File in MS SQL
- SELECT statement in PostgreSQL
- SELECT statement in MS SQL
- SELECT DISTINCT in PostgreSQL
- SELECT DISTINCT in MS SQL
- WHERE in PostgreSQL
- WHERE in MS SQL
- Logical Operators in PostgreSQL
- Logical Operators in MS SQL
- UPDATE in PostgreSQL
- UPDATE in MS SQL
- DELETE in PostgreSQL
- DELETE in MS SQL
- ALTER Part 1 in PostgreSQL
- ALTER Part 2 in PostgreSQL
- ALTER in MS SQL
- Restore and Back-up in PostgreSQL
- Restore and Back-up
- Debugging restoration issues
- Creating DB using CSV files
- Debugging summary and Code for CSV files
- Restore and Back-up in MS SQL
- Restoring and Back-up in MySQL
- Restore and Back-up in MS SQL
- Selection commands: Filtering
- IN in PostgreSQL
- IN in MS SQL
- BETWEEN in PostgreSQL
- BETWEEN in MS SQL
- LIKE in PostgreSQL
- LIKE in MS SQL
- Selection commands: Ordering
- Side Lecture: Commenting in SQL
- ORDER BY in PostgreSQL
- ORDER BY in MS SQL
- LIMIT in PostgreSQL
- LIMIT in MS SQL
- AS in PostgreSQL
- AS in MS SQL
- Aggregate Commands
- COUNT in PostgreSQL
- SUM in PostgreSQL
- AVERAGE in PostgreSQL
- MIN & MAX in PostgreSQL
- Aggregate Functions in MS SQL
- Group By Commands
- GROUP BY in PostgreSQL
- GROUP BY in MS SQL
- HAVING in PostgreSQL
- HAVING in MS SQL
- Conditional Statement
- CASE WHEN in PostgreSQL
- CASE WHEN in MS SQL
- Introduction to Joins
- Concepts of Joining and Combining Data
- Preparing the data
- Inner Join in PostgreSQL
- Inner Join in MS SQL
- Left Join in PostgreSQL
- Left Join in MS SQL
- Right Join in PostgreSQL
- Right Join in MS SQL
- Full Outer Join in PostgreSQL
- Full Outer Join in MS SQL
- Cross Join in PostgreSQL
- Cross Join in MS SQL
- Intersect and Intersect ALL in PostgreSQL
- Except in PostgreSQL
- Union in PostgreSQL
- Intersect, Except & Union in MS SQL
- Subqueries: Subquery in WHERE clause in PostgreSQL
- Subqueries: Subquery in FROM clause in PostgreSQL
- Subqueries: Subquery in SELECT in PostgreSQL
- Subqueries in MS SQL
- Views and Indexes
- VIEWS in PostgreSQL
- VIEWS in MS SQL
- INDEX in PostgreSQL
- INDEX in MS SQL
- String Functions
- LENGTH in PostgreSQL
- UPPER LOWER in PostgreSQL
- REPLACE in PostgreSQL
- TRIM, LTRIM, RTRIM in PostgreSQL
- CONCATENATION in PostgreSQL
- SUBSTRING in PostgreSQL
- LIST AGGREGATION in PostgreSQL
- String Functions in MS SQL
- Mathematical Functions
- CEIL & FLOOR in PostgreSQL
- RANDOM in PostgreSQL
- SETSEED in PostgreSQL
- ROUND in PostgreSQL
- POWER in PostgreSQL
- Mathematical Functions in MS SQL- Part 1
- Mathematical Functions in MS SQL- Part 2
- Date-Time Functions
- CURRENT DATE & TIME in PostgreSQL
- AGE in PostgreSQL
- EXTRACT in PostgreSQL
- Date-Time Functions in MS SQL
- Data Type conversion
- Data Type conversion to string in PostgreSQL
- Data Type conversion to Number and Date in PostgreSQL
- PATTERN (STRING) MATCHING
- PATTERN MATCHING BASICS
- Advanced pattern matching Part 1 (REGULAR EXPRESSIONS)
- Advanced pattern matching Part 2 (REGULAR EXPRESSIONS)
- Pattern matching in MS SQL
- The final milestone!
- Bonus Lecture
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