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Arimoro Olayinka Imisioluwa

Welcome to this project-based course Introduction to SQL Window Functions. This is a hands-on project that introduces SQL users to the world of window functions. In this project, you will learn how to explore and query the project-db database extensively. We will start this hands-on project by retrieving the data in the table in the database.

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Welcome to this project-based course Introduction to SQL Window Functions. This is a hands-on project that introduces SQL users to the world of window functions. In this project, you will learn how to explore and query the project-db database extensively. We will start this hands-on project by retrieving the data in the table in the database.

By the end of this 2-hour-and-a-half-long project, you will be able to use different window functions to retrieve the desired result from a database. In this project, you will learn how to use SQL window functions like ROW_NUMBER(), LEAD(), LAG(), and FIRST_VALUE() to manipulate data in the project-db database. These window functions will be used together with the OVER() clause to query this database.

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What's inside

Syllabus

Project Overview
Welcome to this project-based course Introduction to SQL Window Functions. This is a hands-on project that introduces SQL users to the world of window functions. In this project, you will learn how to explore and query the project-db database extensively. We will start this hands-on project by retrieving the data in the table in the database. By the end of this 2-hour-and-a-half-long project, you will be able to use different window functions to retrieve the desired result from a database. In this project, you will learn how to use SQL window functions like ROW_NUMBER(), LEAD(), LAG(), and FIRST_VALUE() to manipulate data in the project-db database. These window functions will be used together with the OVER() clause to query this database. In this project, we will move systematically by first introducing the functions using a simple example. Then, we will write slightly complex queries using the window functions in real-life applications. Also, for this hands-on project, we will use PostgreSQL as our preferred database management system (DBMS). Therefore, to complete this project, it is required that you have prior experience with using PostgreSQL. Similarly, this project is an intermediate SQL concept; so, a good foundation in writing SQL queries is vital to complete this project. If you are not familiar with writing queries in SQL and want to learn these concepts, start with my previous guided projects titled “Querying Databases using SQL SELECT statement," and “Performing Data Aggregation using SQL Aggregate Functions.” I taught these guided projects using PostgreSQL. So, taking these projects will give the needed requisite to complete this SQL window functions project. However, if you are comfortable writing queries in PostgreSQL, please join me on this wonderful ride! Let’s get our hands dirty!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops hands-on SQL database querying skills that are core for SQL database admin roles
Provides a comprehensive study of SQL window functions for data manipulation
Introduces core SQL window functions with practical examples for better understanding
Emphasizes practical application of SQL window functions in real-life scenarios
Assumes some prior experience with PostgreSQL, which may limit accessibility for complete beginners
Requires a good foundation in writing SQL queries, making it more suitable for intermediate learners

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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 Introduction to SQL Window Functions with these activities:
Review previous databases coursework
Review the key concepts and techniques related to SQL covered in previous courses
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  • Retrieve notes, assignments, and quizzes from previous coursework
  • Go over the materials to refresh your memory on SQL syntax, data modeling, and query optimization
Watch video tutorials on SQL window functions
Supplement your understanding by watching video tutorials to gain different perspectives on SQL window functions
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  • Search for reputable online platforms or YouTube channels that offer video tutorials on SQL window functions
  • Watch the tutorials, taking notes and pausing to practice the concepts demonstrated
Complete SQL exercises and practice problems
Solve practice problems and exercises to reinforce your understanding of SQL window functions
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  • Find online resources or textbooks with practice problems
  • Work through the problems, focusing on applying window functions to solve complex queries
Six other activities
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Attend a workshop on SQL window functions
Deepen your understanding of SQL window functions by attending a hands-on workshop
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  • Research and find a reputable workshop on SQL window functions
  • Register for the workshop and prepare any necessary materials
  • Attend the workshop and actively participate in the exercises and discussions
Attend online or local meetups on SQL or data science
Expand your network and learn from others working in the field of SQL and data science
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  • Find relevant meetups in your area or online
  • Attend the meetups and actively participate in discussions
Create a data visualization using SQL window functions
Apply your knowledge of SQL window functions to create a visual representation of data
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  • Choose a dataset and identify the data you want to visualize
  • Use SQL window functions to calculate the necessary metrics and group the data
  • Select a visualization tool and create a visual representation of the data
Write a blog post or article on SQL window functions
Deepen your understanding by explaining SQL window functions to others through writing
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  • Research and gather information on SQL window functions
  • Organize your thoughts and create an outline for your blog post or article
  • Write the content, providing clear explanations and examples
  • Proofread and edit your work
  • Publish your blog post or article on a relevant platform
Participate in a SQL coding competition
Test your skills and knowledge by competing against others in a SQL coding competition
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  • Find a reputable SQL coding competition
  • Register for the competition and study the rules and requirements
  • Practice solving complex SQL queries and optimizing your code
  • Compete in the competition and strive for a high score or ranking
Contribute to an open-source SQL project
Make a meaningful contribution to the open-source community by working on a SQL project
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  • Find an open-source SQL project that aligns with your interests
  • Familiarize yourself with the project's codebase and documentation
  • Propose and implement a feature or improvement
  • Submit a pull request with your changes and documentation

Career center

Learners who complete Introduction to SQL Window Functions will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst collects, processes, and interprets data to provide insights for a variety of business purposes. They work with large datasets to identify trends and patterns, and may help a company develop and implement strategies to improve performance. This course will help you develop the skills needed to understand how to use SQL window functions to explore and query large datasets of information in databases to help your organization.
Statistician
A Statistician collects, analyzes, and interprets data to provide insights for a variety of purposes. They work with a variety of statistical techniques to analyze data and develop models.
Data Scientist
A Data Scientist uses statistical and machine learning techniques to uncover insights from large datasets. They work with a variety of tools and technologies to analyze data, build models, and make predictions.
Database Administrator
A Database Administrator manages and maintains databases, ensuring that they are available, performant, and secure. They work with a variety of tools and technologies to manage databases and ensure that they are running smoothly.
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. They work with a variety of stakeholders to gather requirements and develop solutions.
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical techniques to solve business problems. They work with a variety of models and tools to analyze data and develop solutions.
Business Intelligence Analyst
A Business Intelligence Analyst designs, builds, and deploys a range of dashboards, reports, and visualizations. The dashboards allow stakeholders to track metrics, make data-driven decisions, and assess the performance of campaigns and initiatives. This course may be useful for learning how to quickly analyze large datasets and identify relevant metrics.
Sales Analyst
A Sales Analyst analyzes sales data to identify trends and patterns. They work with a variety of data analysis techniques to analyze data and develop sales strategies.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They work with a variety of programming languages and technologies to build and deploy software applications.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They work with a variety of financial models and tools to analyze data and develop investment strategies.
Risk Analyst
A Risk Analyst identifies and assesses risks to an organization. They work with a variety of risk management tools and techniques to assess risks and develop mitigation strategies.
Product Manager
A Product Manager manages the development and launch of new products. They work with a variety of stakeholders to gather requirements and develop product specifications.
Data Engineer
A Data Engineer designs and builds the data infrastructure used by a company to manage and analyze its data. They work with various tools and technologies to ensure that data is stored, processed, and analyzed efficiently.
Market Researcher
A Market Researcher conducts research to identify and understand the needs of customers. They work with a variety of research methods to gather data and develop insights.
Information Security Analyst
An Information Security Analyst protects an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction.

Reading list

We've selected nine 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 Introduction to SQL Window Functions.
This classic book provides a comprehensive overview of SQL and relational database theory. It offers a solid foundation for understanding the concepts underlying window functions and how they fit into the broader context of data management.
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Provides a hands-on approach to learning SQL window functions. It includes a lot of practical examples and exercises.
Provides a comprehensive overview of data analysis with SQL. It includes a section on window functions, and it provides a lot of practical examples.
While this book focuses on Hadoop, it contains valuable information on Apache Hive, which includes a SQL-like interface. The book provides insights into data warehousing and big data processing, offering a broader context for understanding the role of window functions in modern data analysis.
Covers the fundamentals of data manipulation in SQL, including window functions. It provides a clear and structured approach to understanding how to insert, update, and delete data, and how to use window functions to perform complex data transformations.
Comprehensive reference for PostgreSQL, and it includes a section on window functions. The book is well-written and provides a lot of detail.
While this book focuses on MongoDB, it provides valuable insights into NoSQL databases and their use in modern data management. Understanding NoSQL concepts can help readers appreciate the role of window functions in different database environments.

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