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PostgreSQL Tutorial: Master SQL for Data Analytics

Discover the opportunities to make data-driven decisions from this course on SQL fundamentals and PostgreSQL system
Course from BitDegree
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All the essential SQL commands
How to use SQL tools like GROUP BY, JOINS and subqueries
Sorting and filtering commands in SQL
About the most popular string of SQL, mathematical and date-time functions
How to enhance the performance of your database by using Views and Indexes

SQL is one of the in-demand programming languages that you can learn. In this PostgreSQL tutorial, I will be explaining the use of vanilla SQL but also combining it with the use of a relational database management system. Yes, you guessed it: I will be using PostgreSQL. 

Since many specialists are choosing to make data-driven decisions instead of those based on intuition and a bare-bones prediction, learning SQL for data analysis is becoming increasingly popular. SQL is no longer regarded as a language for programmers, but also for data analysts, marketing specialists, and basically anyone who deals with data. 

This course teaches SQL for beginners: from the creation of a database and the use of various statements to insert, import, update, or select data. 

Principles of SQL and PostgreSQL 

In this PostgreSQL tutorial, I will be starting from the SQL fundamentals (its installation as one of the examples). After reviewing several case studies about an analytics professional, I turn to the fundamental SQL statements that you use to manage your database. The CREATE statement is the basic function of creating a database. 

The definition of SQL is as follows: it is the standard language for managing data stored in relational database management systems. If you want a description that would be SQL for beginners, this language is for storing, manipulating, and retrieving data. 

PostgreSQL (or Postgres) is a free relational database management system that uses SQL and adds new features to improve data management. In this PostgreSQL tutorial, you will learn about the extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types, and functions. 

Why SQL for data analysis? 

I have already mentioned that SQL is the language for data analysts, but you might not be convinced just yet. It is true that software developers use SQL, but many people outside of the programming scope are learning SQL as well. Here are the main reasons why SQL fundamentals are relevant to business managers and analysts: 

  • SQL for data analysis is perfect due to its relatively lower learning curve. It means that it is easy to learn even without experience with other programming languages. 
  • SQL helps you manage huge amounts of data. Additionally, there are options for organizing data for different purposes. 
  • The decision-making process is becoming more data-based. Therefore, it is essential to find a cost-effective way to handle information. SQL is perfect in this aspect as well as its statements help you get insights from data. 
What will you find in this course? 

This PostgreSQL tutorial aims to teach beginners everything they need to know about SQL and the use of relational database management systems. Do not miss a chance to improve the way you are handling information. While spreadsheets in Excel are the traditional way of storing and handling information, give SQL a shot to take data management to the next level. Since I will be explaining all statements and main concepts, you do not need to have any prior experience to learn from this PostgreSQL tutorial!

PostgreSQL Tutorial: Master SQL for Data Analytics
$ 9.99
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