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Kirill Eremenko, Ilya Eremenko, SuperDataScience Team, and Ligency Team

Are you interested in a career in Data Science or Data Analytics?

In that case, inevitably you are going to encounter databases in your work.

But how do you interact with databases?

The answer is simple: SQL

Read more

Are you interested in a career in Data Science or Data Analytics?

In that case, inevitably you are going to encounter databases in your work.

But how do you interact with databases?

The answer is simple: SQL

SQL stands for Structured Query Language and this is one of the main tools used to organize databases, input data into them and extract it on request.

In this course you will learn how to create queries in a popular variation of SQL called PostgreSQL.

And even if at your workplace you are using a different variation (e.g. Oracle, SQL Server or MySQL), you will find that the skills you learn in this course are easily transferable.

But there are many SQL courses out there, so the question is:

What makes this course stand out?

The unique advantage of this course is that in addition to learning SQL you will also master the concepts of Database Design.

We will cover off topics such as:

- OLAP vs OLTP databases (Online Analytics Processing & Online Transaction Processing): you will understand exactly how and why the designs of these two types of Databases differ

- Normalization of Databases: we will show you the theory behind normalization AND together we will practice how to normalize a Database step-by-step

Why is that important?

Knowing how databases are designed is not a compulsory skill to have for a Data Scientist / Analyst. However, it's a HUGE added benefit.

These skills will allow you to better interact with databases and derive results and extract insights from your data faster.

This course is designed with the Data Scientists and Analysts in mind, so if you want to propel your Data Science career, then this course is for you.

We look forward to seeing you inside,

Kirill & Ilya

Enroll now

What's inside

Learning objectives

  • Create basic sql queries
  • Create advanced sql queries
  • Create left, right, inner and full outer joins
  • Create new tables, alter existing tables in databases
  • Normalize databases
  • Understand database design
  • Understand first, second and third normal form schemas

Syllabus

Introduction
Welcome Challenge!
Intro Video
Some Additional Resources!!
Read more
Learning Paths
Get the materials
Your Shortcut To Becoming A Better Data Scientist!
Installation
Welcome to this section! This is what you wil learn
Installation: PostgreSQL & PgAdmin 4 for Windows
Installation: PostgreSQL & PgAdmin 4 for MAC OS
Installation: MS SQL Server & MS SQL Server Management Studio (SSMS) for Windows
Preparation
Welcome to this section! This is what you will learn
The challenge: Investigating Consumer Complaints
Upload Consumer Complaints
Getting To Know The PGADMIN
Upload Consumer Complaints MS SQL
Getting to know MS SQL SERVER
Basics of SQL
Theory Select Query
Time to write your first query in PostgreSQL
Adding a filter using WHERE in PostgreSQL
Logical conditions AND, OR in PostgreSQL
Using wildcards % and _ (advanced tutorial)
Comments in SQL
Getting to write your first query MS SQL
Where MS SQL
Logical conditions, AND OR MS SQL
Using wildcards MS SQL
Comments in SQL MS SQL
Basics of SQL quiz
Working With Data
The challenge: Analyzing Console Games Sales
Uploading Console Games Dataset
Working with arithmetic data types
ORDER BY
WORKING WITH VARCHARS
WORKING WITH DATES
Implicit Data Conversion in SQL
WORKING WITH NULL
Uploading Console Games DATASET MS SQL
Working with arithmetic data types MS SQL
ORDER BY MS SQL
Working with VARCHAR MS SQL
Working with Dates MS SQL
Implicit DATA conversion MS SQL
Working With Data quiz
Fundamentals of Database Theory
Structured vs Unstructured Data
Elements Of a Database
Relational Keys
Relational Database
Functional Dependency
Joining tables in SQL
Types of Joins
Duplicates in Joins
Joining on multiple fields
The challenge: The Vet's Clinic
Upload the data
Your First Left Outer Join
Joins Tips & Tricks
Inner Join
Full Outer join
Joining on Multiple Fields (Practice)
Complex Joins
Cleaning up your Join
Cross Join (advanced tutorial)
Upload The Data - MS SQL
Your First Left Outer Join - MS SQL
Joins Tips & Tricks - MS SQL
Inner Join - MS SQL
Full Outer Join - MS SQL
Joining on Multiple Fields (Practice) - MS SQL
Complex Joins - MS SQL
Cleaning Up Your Join - MS SQL
Cross Join (advanced tutorial) - MS SQL
Creating Tables in SQL
Create Database
Create Table
Insert Data
Alter Table
Drop Table
Create Database MS SQL
Create Table MS SQL
Insert Data MS SQL
ALTER TABLE MS SQL
DROP TABLE MS SQL
Creating Tables in SQL quiz
Database Design

In this tutorial, you will learn why you should know how the databases design and why it is essential for data scientists

Prime and non-prime attributes
First Normal Form (1NF)
Second Normal Form (2NF)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops strong foundational knowledge of SQL and database design, two crucial skills for data scientists
Taught by recognized experts in data science and analytics
Offers hands-on learning through interactive materials and exercises
Covers advanced topics such as database normalization, which is essential for efficient data management
Explores the concepts behind database design, providing a deeper understanding of how databases are structured to optimize data storage and retrieval
Introduces industry-standard tools and practices, ensuring relevance in the job market

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Save SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL to your list so you can find it easily later:
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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 SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL with these activities:
Find a mentor or study buddy
Connect with a mentor or study buddy to provide support, guidance, and motivation throughout the course.
Show steps
  • Reach out to friends, colleagues, or online communities to find someone who is experienced in SQL or data science.
  • Explain your goals and ask if they would be willing to mentor or support you.
Organize your course materials
Stay organized by compiling and reviewing your notes, assignments, and other course materials.
Show steps
  • Create a dedicated folder or notebook for your course materials.
  • Organize your materials by topic or lesson.
  • Review your materials regularly to reinforce your understanding.
Review SQL syntax
Review the basics of SQL syntax to refresh your memory and strengthen your foundation for this course.
Browse courses on SQL Syntax
Show steps
  • Go over your notes or textbooks from previous SQL courses or tutorials.
  • Take practice quizzes or exercises to test your understanding of SQL syntax.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow along with SQL tutorials
Supplement your learning by following along with tutorials and videos that demonstrate SQL concepts in a practical way.
Show steps
  • Search for SQL tutorials online or on platforms like YouTube.
  • Choose tutorials that cover topics relevant to this course, such as database design or query optimization.
  • Follow along with the tutorials and take notes on key concepts and techniques.
Write SQL queries to practice
Put your SQL skills to the test by writing your own queries and solving problems.
Show steps
  • Find a dataset online or use the one provided in the course materials.
  • Create a list of questions or scenarios that you want to solve using SQL.
  • Write SQL queries to answer your questions or solve your scenarios.
  • Check your results and identify any errors or areas for improvement.
Participate in SQL competitions
Test your SQL skills and knowledge by participating in online or local SQL competitions.
Show steps
  • Search for SQL competitions online or through organizations like Kaggle.
  • Choose a competition that aligns with your interests and skill level.
  • Study and practice SQL to prepare for the competition.
  • Participate in the competition and submit your solutions.
Create a data analysis project
Apply your SQL skills by creating a data analysis project that addresses a real-world problem or question.
Show steps
  • Identify a problem or question that you want to solve using data.
  • Gather and clean the necessary data.
  • Write SQL queries to analyze the data and extract insights.
  • Create visualizations and reports to present your findings.
  • Share your project with others for feedback and discussion.
Build a database and design
Demonstrate your understanding of database design by creating a database and implementing a specific design.
Show steps
  • Choose a dataset or scenario for your database.
  • Design the database schema, including tables, columns, and relationships.
  • Create the database using PostgreSQL or another SQL database management system.
  • Populate the database with data.
  • Write SQL queries to demonstrate the functionality and capabilities of your database.

Career center

Learners who complete SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL will develop knowledge and skills that may be useful to these careers:
Database Administrator
A Database Administrator (DBA) is responsible for the maintenance and performance of databases. They work with database software, hardware, and network systems to ensure that databases are available, secure, and performant. This course helps build a foundation in SQL, which is a key skill for DBAs. The course also covers database design, which is essential for understanding how databases are structured and organized. This knowledge can help DBAs to better manage and maintain databases.
Data Analyst
A Data Analyst collects, analyzes, interprets, and presents data. They work with business stakeholders to identify and solve problems, and to improve decision-making. This course helps build a foundation in SQL, which is a key skill for Data Analysts. The course also covers database design, which is essential for understanding how data is structured and organized. This knowledge can help Data Analysts to better understand the data they are working with and to develop more effective solutions.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course helps build a foundation in SQL, which is a key skill for Data Scientists. The course also covers database design, which is essential for understanding how data is structured and organized. This knowledge can help Data Scientists to better understand the data they are working with and to develop more effective models.
Data Visualization Engineer
A Data Visualization Engineer designs and develops data visualizations that communicate data insights to users. They work with data analysts and scientists to identify the most effective ways to visualize data and to create visualizations that are both informative and engaging. This course may be helpful for Data Visualization Engineers who want to learn more about SQL and database design. The course can help Data Visualization Engineers to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and systems. They work with a variety of data sources and technologies to ensure that data is clean, consistent, and available for analysis. This course may be helpful for Data Engineers who want to learn more about SQL and database design. The course can help Data Engineers to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Information Architect
An Information Architect designs and organizes information systems, including databases. They work with stakeholders to identify and define the information needs of an organization and to develop systems that meet those needs. This course may be helpful for Information Architects who want to learn more about SQL and database design. The course can help Information Architects to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve problems in a variety of industries. They work with data to develop models and solutions that improve efficiency and effectiveness. This course may be helpful for Operations Research Analysts who want to learn more about SQL and database design. The course can help Operations Research Analysts to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Business Analyst
A Business Analyst works with business stakeholders to identify and solve problems, and to improve decision-making. They use a variety of tools and techniques to analyze data, develop solutions, and communicate findings. This course may be helpful for Business Analysts who want to learn more about SQL and database design. The course can help Business Analysts to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Financial Analyst
A Financial Analyst uses financial data to make investment recommendations and to evaluate the performance of investments. They work with data to develop models and to make recommendations on how to allocate funds. This course may be helpful for Financial Analysts who want to learn more about SQL and database design. The course can help Financial Analysts to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Risk Analyst
A Risk Analyst identifies, assesses, and manages risk. They work with data to develop models that can be used to predict future events and to make decisions about risk management. This course may be helpful for Risk Analysts who want to learn more about SQL and database design. The course can help Risk Analysts to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Management Consultant
A Management Consultant helps organizations to improve their performance. They work with clients to identify and solve problems, and to develop and implement solutions. This course may be helpful for Management Consultants who want to learn more about SQL and database design. The course can help Management Consultants to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Actuary
An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. They work with data to develop models that can be used to predict future events and to make decisions about risk management. This course may be helpful for Actuaries who want to learn more about SQL and database design. The course can help Actuaries to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Market Research Analyst
A Market Research Analyst collects, analyzes, and interprets data about consumers and markets. They work with data to identify trends and opportunities, and to develop strategies for marketing products and services. This course may be helpful for Market Research Analysts who want to learn more about SQL and database design. The course can help Market Research Analysts to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Statistician
A Statistician collects, analyzes, and interprets data. They work with data to identify patterns and trends, and to develop models that can be used to make predictions. This course may be helpful for Statisticians who want to learn more about SQL and database design. The course can help Statisticians to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.
Software Engineer
A Software Engineer designs, develops, tests, and maintains software systems. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course may be helpful for Software Engineers who want to learn more about SQL and database design. The course can help Software Engineers to develop a better understanding of how data is stored and organized, and how to use SQL to access and manipulate data.

Reading list

We've selected 11 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 SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL.
Provides a comprehensive overview of SQL Server, including how to use it for data analysis. It valuable resource for anyone who wants to learn more about SQL Server.
While this book is quite theoretical, it provides a comprehensive overview of SQL and relational database theory. It great textbook for academic institutions.
Provides a comprehensive guide to optimizing PostgreSQL performance. It covers topics such as indexing, query tuning, and hardware configuration. It valuable resource for anyone who wants to learn more about PostgreSQL performance or use it for data analysis.
Provides a comprehensive overview of SQL injection attacks and how to defend against them. It valuable resource for anyone who wants to learn more about SQL injection attacks or use SQL Server for data analysis.
Provides a collection of recipes for solving common SQL problems. It valuable resource for anyone who wants to learn more about SQL or use it for data analysis.
Provides a comprehensive overview of database management systems, covering topics such as data models, query processing, and transaction management. It valuable resource for anyone who wants to learn more about database management systems or use them for data analysis.
Provides a beginner-friendly introduction to PostgreSQL, covering topics such as installation, configuration, and basic SQL. It valuable resource for anyone who is new to PostgreSQL or wants to learn more about it.
Practical guide to SQL, covering the basics of the language as well as more advanced topics such as database design and optimization.

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