PostgreSQL and MySQL for Beginners from Udemy

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 Postgre 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.

What's inside

Learning objectives

How to write select queries to fetch relevant data in postgresql and mysql
How to filter and sort the data using when, logical operators and order by
How to group and aggregate data in postgresql and mysql
How to apply joins and combining queries in postgresql and mysql

String, mathematical, date-time functions and pattern matching in postgresql and mysql
Understanding of views and indexes in postgresql and mysql
How to write subqueries in postgresql and mysql

How to write select queries to fetch relevant data in postgresql and mysql
How to filter and sort the data using when, logical operators and order by
How to group and aggregate data in postgresql and mysql
How to apply joins and combining queries in postgresql and mysql
String, mathematical, date-time functions and pattern matching in postgresql and mysql
Understanding of views and indexes in postgresql and mysql
How to write subqueries in postgresql and mysql

Syllabus

Introduction

Course Resources

Course resources

This is a milestone!

Setting up PostgreSQL and PGAdmin

Installing PostgreSQL and pgAdmin in your System

If pgAdmin is not opening...

Installing MySQL

Installing and Setting up MySQL

Fundamental SQL statements

CREATE in PostgreSQL

CREATE in MySQL

Exercise 1: Create DB and Table

Solutions to all Exercises

INSERT in PostgreSQL

INSERT in MySQL

Import data from File in PostgreSQL

Import data from File in MySQL

Exercise 2: Inserting and Importing data

SELECT statement in PostgreSQL

SELECT statement in MySQL

Quick coding exercise on Select Statement

SELECT DISTINCT in PostgreSQL

SELECT DISTINCT in MySQL

Quick coding exercise on Distinct Command

WHERE in PostgreSQL

WHERE in MySQL

Quick coding exercise on Where Statement

Logical Operators in PostgreSQL

Logical Operators in MySQL

Quick coding exercise on Logical Operators

Exercise 3: SELECT, WHERE & Logical

UPDATE in PostgreSQL

UPDATE in MySQL

Quick coding exercise on Update Command

DELETE in PostgreSQL

DELETE in MySQL

Quick coding exercise on Delete Command

ALTER Part 1 in PostgreSQL

ALTER Part 2 in PostgreSQL

Quick coding exercise on Alter Command

ALTER in MySQL

Exercise 4: Update, Delete and Alter Table

Quiz

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

Exercise 5: Restore and Back-up

Restore and Back-up in MySQL

Quick coding exercise on Limit Command

Restoring and Back-up in MySQL

Selection commands: Filtering

IN in PostgreSQL

IN in MySQL

Quick coding exercise on IN operator

BETWEEN in PostgreSQL

BETWEEN in MySQL

Quick coding exercise on Between Operator

LIKE in PostgreSQL

LIKE in MySQL

Quick coding exercise on Like operator

Exercise 6: In, Like & Between

Selection commands: Ordering

Side Lecture: Commenting in SQL

ORDER BY in PostgreSQL

ORDER BY in MySQL

Quick coding exercise on Order by Clause

LIMIT in PostgreSQL

LIMIT in MySQL

Exercise 7: Sorting

Aliases

AS in PostgreSQL

AS in MySQL

Quick coding exercise on AS operator

Aggregate Commands

COUNT in PostgreSQL

COUNT in MySQL

Quick coding exercise on Count function

SUM in PostgreSQL

SUM in MySQL

Quick coding exercise on Sum function

AVERAGE in PostgreSQL

AVERAGE in MySQL

Quick coding exercise on Average function

MIN & MAX in PostgreSQL

MIN & MAX in MySQL

Quick coding exercise on MIN & MAX function

Group By Commands

GROUP BY in PostgreSQL

GROUP BY in MySQL

Quick coding exercise on Group By Clause

HAVING in PostgreSQL

HAVING in MySQL

Quick coding exercise on Having Clause

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers both PostgreSQL and MySQL, which are highly desired skills for database management and data analysis roles, making it relevant for data professionals

Starts from the basics and progresses to advanced levels, providing a structured learning path for individuals with little to no prior SQL experience

Explores fundamental SQL statements like CREATE, INSERT, SELECT, UPDATE, and DELETE in both PostgreSQL and MySQL, which are essential for database management

Includes downloadable resources covering important SQL topics, which can supplement learning and provide reference materials for future use

Features quick coding exercises after each concept, which reinforces learning through hands-on practice and immediate application of knowledge

Teaches back-up and restore, which are important skills for database management, but may not be relevant for all data analysis roles

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in PostgreSQL and MySQL for Beginners with these activities:

Review Relational Database Concepts

Show steps

Solidify your understanding of relational database concepts before diving into PostgreSQL and MySQL specifics. This will help you grasp the underlying principles more effectively.

Browse courses on Relational Databases

Show steps

Review the definition of a relational database.
Understand the concepts of tables, rows, and columns.
Familiarize yourself with primary and foreign keys.

Practice Basic SQL Queries

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Practice writing basic SQL queries to prepare for the course's hands-on exercises. This will make it easier to follow along with the examples and complete the assignments.

Browse courses on SQL Queries

Show steps

Write SELECT queries to retrieve data from a sample database.
Use WHERE clauses to filter the data based on specific conditions.
Sort the results using ORDER BY clauses.

Read 'SQL for Data Analysis' by Cathy Tanimura

Show steps

Supplement your learning with a book focused on SQL for data analysis. This will provide a broader perspective and deeper understanding of how SQL is used in practice.

View SQL for Data Analysis on Amazon

Show steps

Read the chapters covering basic SQL syntax and data retrieval.
Study the examples of using SQL for data aggregation and filtering.
Practice the exercises provided in the book.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Complete SQL Exercises on LeetCode

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Reinforce your SQL skills by solving coding challenges on LeetCode. This will help you develop problem-solving abilities and improve your coding efficiency.

Show steps

Select SQL problems on LeetCode with varying difficulty levels.
Attempt to solve each problem independently.
Analyze the solutions provided by other users to learn different approaches.

Create a SQL Cheat Sheet

Show steps

Compile a cheat sheet of commonly used SQL commands and functions. This will serve as a quick reference guide and help you memorize important syntax.

Show steps

List the most frequently used SQL commands (SELECT, INSERT, UPDATE, DELETE).
Include examples of using WHERE clauses, ORDER BY clauses, and aggregate functions.
Organize the cheat sheet in a clear and concise manner.

Design a Database Schema for an E-commerce Website

Show steps

Apply your knowledge of SQL and database design to create a database schema for a real-world application. This will help you understand the practical aspects of database development.

Show steps

Identify the entities and attributes required for an e-commerce website (products, customers, orders).
Define the relationships between the entities.
Create tables with appropriate data types and constraints.
Document the database schema.

Read 'PostgreSQL Up and Running' by Regina O. Obe and Leo S. Hsu

Show steps

Deepen your understanding of PostgreSQL with a dedicated book. This will provide more in-depth knowledge and practical insights.

View PostgreSQL: Up and Running: A Practical Guide... on Amazon

Show steps

Read the chapters covering PostgreSQL-specific syntax and features.
Experiment with the examples provided in the book.
Explore advanced topics like indexing and query optimization.

Career center

Learners who complete PostgreSQL and MySQL for Beginners will develop knowledge and skills that may be useful to these careers:

Database Administrator

A Database Administrator is responsible for the performance, integrity, and security of a database. This role involves tasks such as database design, implementation, maintenance, and backup and recovery. This course helps build a foundation in SQL, a crucial skill for a database administrator. As a database administrator, you will use SQL daily to interact with databases, manage data, and optimize performance. The course's specific focus on PostgreSQL and MySQL, two widely used database systems, will help you develop practical knowledge and skills directly applicable to database administration tasks. The course also covers views and indexes, which will be important to learn for a role in database administration.

See salaries and explore the career path for Database Administrator

Data Analyst

A Data Analyst extracts insights from data, using SQL to retrieve and manipulate data from databases. Data analysts examine trends and patterns in data to help businesses make better decisions. This course is designed to teach SQL, crucial for accessing and analyzing data. As a data analyst, proficiency in SQL is essential for querying and retrieving the data needed for analysis, which can be done using both PostgreSQL and MySQL, as taught in this course. The course introduces complex SQL queries, covering sorting and filtering techniques that are essential in a data analysis role. This course can help you become a data analyst and begin a career that many companies need.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

A Business Intelligence Analyst uses data analysis skills to identify trends and create reports that drive business decisions. This area of work involves working with large datasets and visualizing the trends they uncover. This course is useful for a business intelligence analyst because it provides a solid grounding in SQL, which is essential for extracting and manipulating data. The course’s instruction in both PostgreSQL and MySQL is particularly relevant for a business intelligence analyst, as they may encounter either or both technologies in their daily tasks. The course's focus on filtering, sorting, grouping, and aggregating data are all helpful to a business intelligence analyst.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

A Data Scientist uses statistical analysis, machine learning, and data visualization to make predictions and solve complex business problems. Data scientists use SQL to pull the data needed to perform their analyses. This course will help build your SQL skills, enabling you to easily extract and manipulate data from databases like PostgreSQL and MySQL. Specifically, this course’s training in complex queries, filtering, sorting, grouping, and aggregating data are all important tools for a data scientist. If you want to pursue a role in data science, learning SQL is essential, and this course will help you get this important foundation.

See salaries and explore the career path for Data Scientist

Database Developer

A database developer is responsible for designing, implementing, and maintaining databases. This role requires strong skills in SQL for building and managing database objects and for querying data. This course is highly relevant to a career as a database developer. The course not only teaches basic SQL commands but also covers advanced topics including how to create tables, implement constraints, and query large datasets using PostgreSQL and MySQL. The course will help develop skills useful for database development, including a knowledge of views, indexes, and subqueries, which are frequently used in practice.

See salaries and explore the career path for Database Developer

Data Engineer

A data engineer designs, builds, and maintains the infrastructure required to process and store data. This involves working with databases and using SQL to extract, transform, and load data. This course will help you gain practical skills in SQL, which is used every day by data engineers. The training in complex SQL queries, specifically those using PostgreSQL and MySQL, will be particularly valuable in this role. Data engineers work with database systems and must be able to use SQL to manage them. This course will help you develop important foundations for a career in data engineering.

See salaries and explore the career path for Data Engineer

Analytics Consultant

An Analytics Consultant helps companies use data to improve their business performance. This role involves working with various data sources and using SQL to extract and analyze data. This course may be useful for an analytics consultant. The course focuses on SQL, the main way that an analyst extracts and manipulates data. The course covers PostgreSQL and MySQL, two very commonly used systems, and how to use SQL with them. This course may provide a consultant with the techniques necessary to work with data, including how to filter and sort, aggregate, and join data.

See salaries and explore the career path for Analytics Consultant

Market Research Analyst

A Market Research Analyst studies market trends and customer behavior to provide insights that will help companies. This includes working with large datasets and being able to extract relevant information with SQL. This course may be useful for an analyst, as the training in PostgreSQL and MySQL can help them learn how to use SQL to manage different databases. The course will provide techniques to filter, sort, and group data, which a market research analyst can use to examine information. This course can help build a foundation in data manipulation, which is an important aspect of this job.

See salaries and explore the career path for Market Research Analyst

Financial Analyst

A financial analyst is responsible for analyzing financial data, providing insights, and making recommendations for investments and financial planning. This involves using data from a variety of sources, often stored in databases to develop financial projections. This course may help a financial analyst with the SQL skills needed to extract and manipulate data from databases. While this position may involve other analytical skills, SQL is often useful for financial analysts, and this course provides useful instruction in using this language with PostgreSQL and MySQL. The course may be useful in this role.

See salaries and explore the career path for Financial Analyst

Technical Support Specialist

A Technical Support Specialist provides technical support to customers or internal users of a product or service. This role may require an understanding of databases and SQL, as some support issues might involve data retrieval or analysis. This course may help a technical support specialist build skills in database structure, and learn how to query data using SQL. The course’s coverage of common database systems, such as PostgreSQL and MySQL, may be helpful for a technical support specialist. This course may provide some of the knowledge needed for this role.

See salaries and explore the career path for Technical Support Specialist

Operations Analyst

An Operations Analyst analyzes a company’s operations to improve efficiency and reduce costs. This role often involves working with large datasets and extracting key information using SQL. This course may be useful for an operations analyst as it introduces the fundamental skills needed to query and manipulate data within databases. Operations analysts are likely to work with data from PostgreSQL or MySQL, which makes this course’s content particularly relevant to this role. The course will teach you to sort, filter, and aggregate data, which are useful skills in operations analysis.

See salaries and explore the career path for Operations Analyst

Quality Assurance Analyst

A Quality Assurance Analyst tests software to ensure it meets quality standards. This position may require work with data, as testers may query and analyze information stored in databases. This course may provide a useful foundation for learning to use SQL. The course’s instruction in PostgreSQL and MySQL may be useful to a quality assurance analyst, who may need to investigate database structures and results during testing. This course may provide some of the skills needed for this role.

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Research Assistant

A Research Assistant supports research projects by collecting, organizing, and analyzing data. This role sometimes involves working with databases and using SQL to extract data. This course may be useful for a research assistant who needs to query databases and use SQL. The course’s training in PostgreSQL and MySQL will be relevant to a research assistant who works with these databases. The course’s teaching on filtering, sorting, and joining data may be useful to a research assistant.

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Project Manager

A Project Manager is responsible for planning, executing, and closing projects. This role sometimes involves working with data and using SQL to track project progress. This course may be helpful for a project manager who needs to track progress using data from databases. The course’s training in PostgreSQL and MySQL may be relevant if the project involves these databases. This course may provide some of the skills needed to use data in this role, including learning to use subqueries.

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Technical Writer

A technical writer creates technical documentation for products or services. This may involve working with databases and understanding the structure or data within. This course may be useful for a technical writer who needs to understand database structures and SQL commands. The course’s training in PostgreSQL and MySQL may provide a useful foundation for a technical writer who needs to document its implementation. This course may provide a useful foundation for this role.

See salaries and explore the career path for Technical Writer

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in PostgreSQL and MySQL for Beginners.

PostgreSQL: Up and Running

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Comprehensive guide to PostgreSQL, covering everything from installation and configuration to advanced features like replication and performance tuning. It valuable resource for students who want to delve deeper into PostgreSQL and learn how to use it effectively in production environments. This book is commonly used by industry professionals.

PostgreSQL: Up and Running: A Practical Guide to...

Kindle Edition

SQL for Data Analysis

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Provides a practical guide to using SQL for data analysis. It covers a wide range of SQL techniques, from basic queries to advanced analytical functions. It is particularly useful for understanding how to apply SQL in real-world business scenarios. This book valuable reference for students looking to enhance their data analysis skills with SQL.

SQL for Data Analysis

Paperback

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SQL for Data Analysis

Kindle Edition

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PostgreSQL and MySQL for Beginners

What's inside

Learning objectives

Syllabus

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Activities

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Reading list

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