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Start-Tech Trainings and Start-Tech Academy

4 Reasons why you should choose this SQL course

  1. Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses

  2. Comprehensive - covers basic and advanced SQL statements in both, PostgreSQL and MySQL

  3. Downloadable resources covering important topics on SQL

  4. 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?

Read more

4 Reasons why you should choose this SQL course

  1. Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses

  2. Comprehensive - covers basic and advanced SQL statements in both, PostgreSQL and MySQL

  3. Downloadable resources covering important topics on SQL

  4. 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?

  1. 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.

  2. 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.

  3. SQL is one of the most sought-after skills by hiring employers.

  4. 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.

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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

Syllabus

Introduction
Course Resources
Course resources
This is a milestone!
Read more
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
Provides downloadable resources covering important SQL topics, which can be helpful for learners who prefer to study offline or want to keep a reference guide
Covers both PostgreSQL and MySQL, which are highly desired skills for database management and data analysis roles, making it relevant for those seeking employment
Starts with fundamental SQL statements like CREATE, INSERT, SELECT, and WHERE, building a strong foundation for learners with little to no prior experience
Includes advanced SQL topics such as subqueries, views, indexes, and functions, which are essential for database management and complex data analysis tasks
Explores database backup and restoration procedures in both PostgreSQL and MySQL, which are critical skills for database administrators to ensure data integrity and availability
Features quick coding exercises after each concept, which reinforces learning and helps learners apply their knowledge immediately in both PostgreSQL and MySQL

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

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.
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.
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.

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