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Naoman Daulatabad

This course is a complete, concept-driven journey through SQL using PostgreSQL — from the absolute basics to advanced topics like window functions, subqueries, CTEs, and performance tuning. What sets this course apart is its scenario-based learning approach: each concept is introduced with real-world context before diving into writing queries. The focus is on clarity and understanding, not just syntax.

You’ll build strong foundations with core SQL concepts like The course includes section-wise quizzes, assignments, and a final portfolio-grade project based on real-world sales data to solidify your skills.

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This course is a complete, concept-driven journey through SQL using PostgreSQL — from the absolute basics to advanced topics like window functions, subqueries, CTEs, and performance tuning. What sets this course apart is its scenario-based learning approach: each concept is introduced with real-world context before diving into writing queries. The focus is on clarity and understanding, not just syntax.

You’ll build strong foundations with core SQL concepts like The course includes section-wise quizzes, assignments, and a final portfolio-grade project based on real-world sales data to solidify your skills.

Whether you're a data analyst, data scientist, backend developer, business intelligence professional, or a student preparing for a data career, this course will help you master SQL not just syntactically, but conceptually.

Each section includes downloadable datasets and all the SQL files used in demonstrations so you can follow along and practice effectively. You’ll also gain the confidence to read, debug, and write complex queries used in actual business reporting.

By the end, you’ll be equipped to solve real-world data problems with clean, optimized SQL — from exploration to insight.

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What's inside

Learning objectives

  • Write efficient sql queries using postgresql to retrieve, filter, join, and aggregate data from relational databases.
  • Apply advanced sql techniques like window functions, subqueries, and ctes to solve real-world analytical problems.
  • Understand and use scenario-based logic to approach business reporting and data-driven decision making.
  • Build a complete portfolio project using sales data, along with assignments and quizzes to reinforce practical learning.

Syllabus

Introduction
Course Structure
Course Resources
It's a Milestone
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Section Quiz on Database Fundamental Concepts

Section Quiz on Introduction to SQL

Section Quiz

Section Quiz on SELECT Clauses & Options

Section Quiz on Joins & Unions in SQL

Section Code on Essential SQL Functions

Section Quiz on Windows Functions in SQL

Section Quiz on Subqueries in SQL

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Career center

Learners who complete SQL Essentials: From Basic To Advance will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 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 Essentials: From Basic To Advance.
Is highly relevant for understanding contemporary database topics, particularly in the context of distributed systems, scalability, and various data storage technologies like NoSQL. It is excellent for professionals and advanced students looking to deepen their understanding of modern data systems and their trade-offs.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
This widely-used textbook that provides a comprehensive introduction to database systems, covering fundamental concepts of database management. It's suitable for undergraduate and graduate students and serves as a strong foundation for understanding relational databases. The book includes material for both introductory and advanced courses.
The fifth edition of this mastering series covers advanced techniques for building and managing scalable, reliable, and fault-tolerant database applications with PostgreSQL 15. It's a valuable resource for experienced users and administrators.
Is dedicated to the critical topic of optimizing queries in PostgreSQL. It is essential for developers and database administrators who need to improve the performance of their applications and databases. The book provides techniques and strategies for writing efficient queries and understanding the query execution plan.
Dives deep into how databases execute SQL queries and what factors influence performance. Understanding query execution plans and optimization is critical for using subqueries effectively in high-performance applications. This is an essential read for graduate students and professionals focused on database performance.
Provides a beginner-friendly introduction to data modeling, covering fundamental concepts, techniques, and diagramming. It includes hands-on exercises and self-tests to reinforce learning, making it suitable for high school and undergraduate students, as well as those new to the field.
Focuses on using SQL for data analysis, covering advanced techniques relevant to the topic, including sophisticated uses of subqueries and window functions. It's ideal for undergraduate students, graduate students, and professionals looking to leverage SQL for in-depth data analysis.
This guidebook offers a comprehensive overview of the Business Intelligence lifecycle, from data integration to analytics. It provides clear explanations of architectural design and processes, making it valuable for gaining a broad understanding of the field. It useful reference for navigating the complexities of BI projects and includes practical solutions.
The first volume in a series, this book offers a collection of universal data models applicable across various industries. It's a practical guide providing pre-built patterns for common business concepts like parties, products, and orders. This is an excellent reference for data modelers at all levels, particularly useful for jump-starting modeling projects.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
A problem/solution-oriented book that provides practical recipes for tackling common SQL challenges. It includes many examples of using subqueries to solve real-world querying problems. is suitable for undergraduate students and working professionals looking to deepen their practical SQL skills.
Offers a structured approach to learning PostgreSQL from scratch, covering fundamental concepts like SQL statements and server-side programming, as well as administration, security, and performance optimization. It is suitable for beginners and those looking for a comprehensive guide to the latest version of PostgreSQL, serving as a valuable learning resource and reference.
This cookbook offers a problem-solution format with over 180 practical recipes for PostgreSQL administration. It valuable desk reference for database administrators, covering fundamental to advanced tasks. The book is particularly useful for finding quick solutions and best practices for real-world challenges in managing enterprise databases.
For those looking to deepen their understanding of how database systems function internally, this book provides a detailed exploration of topics like storage engines, indexing, and transaction processing in distributed systems. It is suitable for advanced students and professionals.
This practical guide offers a collection of recipes for solving common SQL problems, making it a valuable resource for developers and analysts who need to write efficient and effective queries.
Similar to their other book, this version specifically targets SQL Server 2019 and focuses on the expert-level usage of window functions within that environment. It's highly relevant for professionals working with this specific database version and seeking in-depth knowledge of window function capabilities and optimizations in SQL Server 2019.
Dives into common mistakes and suboptimal solutions in database design and SQL coding, explaining how to identify and correct them. It's crucial for deepening understanding and writing more robust and maintainable SQL. It's a valuable resource for developers and database professionals seeking to improve their practices.
Offers practical advice and patterns for writing efficient and effective SQL queries. It includes discussions on how to use subqueries optimally and avoid common pitfalls. This valuable resource for undergraduate students, graduate students, and professionals aiming to improve their SQL coding practices.
While focused on MySQL, this book provides in-depth coverage of database and SQL performance tuning that is applicable to other systems. It's essential for those working with large datasets and high-traffic applications. It's a comprehensive guide for optimizing SQL queries and database infrastructure.
This cookbook provides recipes specifically focused on achieving high performance with PostgreSQL. It useful resource for database administrators and developers looking for practical solutions to performance tuning and optimization challenges.
This guide simplifies complex SQL window functions with clear explanations, practical examples, and hands-on exercises. It is suitable for both beginners and experienced data analysts. The book covers essential window functions like ROW_NUMBER, RANK(), LEAD(), and LAG(), as well as advanced functions.
For those working with Microsoft BI tools like Power BI, SSAS, and Excel, a strong understanding of DAX is essential. is considered a definitive guide to the DAX language, providing in-depth knowledge for creating powerful calculations and data models.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
Tailored for aspiring data scientists, this book focuses on the SQL skills needed for data analysis, including dataset construction and manipulation. It bridges the gap between basic SQL and its application in data science workflows. Relevant for those entering or working in the data science field.
La edición en español de 'Database Design for Mere Mortals' ofrece una guía práctica y accesible para el diseño de bases de datos relacionales. Es ideal para principiantes y aquellos sin experiencia técnica previa, enfocándose en principios de diseño fundamentales con explicaciones claras y sin jerga.
Explores reusable data model patterns for common business structures. It helps in applying data modeling rules in an enterprise context and provides high-level models for various business areas. This valuable resource for experienced modelers and professionals looking for proven solutions to recurring modeling challenges.
While focused on Transact-SQL (T-SQL) for Microsoft SQL Server, this book provides a strong foundation in core SQL concepts, including subqueries, joins, and table expressions. It's a valuable resource for undergraduate students and professionals working with SQL Server, offering clear explanations and exercises.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Comprehensive guide to the entire Business Intelligence project lifecycle, from planning to deployment. It provides a structured approach to implementing BI solutions and emphasizes understanding business needs and ensuring data quality. It valuable resource for project managers and those involved in BI implementation.
Provides real-world examples of how companies are using big data and analytics to achieve success. It showcases Business Intelligence in action across various industries, offering practical insights and inspiration. It's valuable for understanding the practical applications of BI.
Is an approachable guide to SQL with a focus on data analysis. It covers fundamental SQL concepts and progressively introduces more complex techniques, including subqueries, within the context of exploring and analyzing data. Suitable for high school students and undergraduates interested in data analysis.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Provides a practical and fast-paced introduction to PostgreSQL. It is well-suited for beginners and those migrating from other database systems, covering essential features and demonstrating how PostgreSQL can be used as an application platform. While not exhaustive, it focuses on the necessary knowledge to get started and be successful, making it a good initial reference.
Although specific to MySQL, this book offers in-depth coverage of database performance and query optimization principles that are broadly applicable, including the performance implications of different querying techniques like subqueries. Relevant for graduate students and professionals working with MySQL or interested in database performance tuning.
Provides comprehensive coverage of SQL Server for developers, including detailed explanations and examples of querying techniques like subqueries. It's a practical guide suitable for undergraduate students and professionals learning or working with SQL Server.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Addresses the importance of having a sound data strategy in the age of big data and IoT. It helps readers understand how to leverage data, analytics, and Business Intelligence to drive profitability and gain a competitive edge.
Provides a hands-on approach to learning and practicing SQL through a variety of problems. It's an excellent supplement to theoretical learning and helps solidify understanding through practical application. Suitable for all levels looking to improve their problem-solving skills with SQL.
Focuses on optimizing PostgreSQL for Ruby on Rails applications. It is highly relevant for developers working with this framework who need to build scalable and high-performance database backends. It covers advanced PostgreSQL and Active Record capabilities to address application scale and growth challenges.
This practical guide delves into various aspects of working with PostgreSQL from a programming perspective. It is for moderate to advanced PostgreSQL database professionals with experience in writing SQL and some coding experience.
Predictive analytics is an advanced area within Business Intelligence. explores how predictive analytics works and its applications in various business scenarios. It's suitable for those looking to deepen their understanding of advanced BI techniques.
Aims to provide a simple and clear path to learning PostgreSQL for data professionals. It good starting point for those new to PostgreSQL, offering an introduction to what it is, what it does, and how to use it effectively.
Provides a clear explanation of relational database design principles and their implementation. It is suitable for students and professionals who need to understand how to design and manage relational databases effectively, covering both theory and practical aspects.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
Effective data visualization crucial aspect of Business Intelligence. focuses on the principles of designing insightful and effective dashboards for communicating data clearly and accurately. It's a valuable resource for anyone involved in presenting BI findings.

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