We may earn an affiliate commission when you visit our partners.
Course image
Arimoro Olayinka Imisioluwa

Welcome to this project-based course SQL Window Functions for Analytics. This is a hands-on project that will help SQL users use window functions extensively for database insights. 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.

Read more

Welcome to this project-based course SQL Window Functions for Analytics. This is a hands-on project that will help SQL users use window functions extensively for database insights. 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(), RANK(), DENSE_RANK(), NTILE(), and LAST_VALUE() to manipulate data in the project-db database. Also, we will consider how to use aggregate window functions. These window functions will be used together with the OVER() clause to query this database. By extension, we will use grouping functions like GROUPING SETS(), ROLLUP(), and CUBE() to retrieve sublevel and grand totals.

Enroll now

What's inside

Syllabus

Project Overview
Welcome to this project-based course SQL Window Functions for Analytics. This is a hands-on project that will help SQL users use window functions extensively for database insights. 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(), RANK(), DENSE_RANK(), NTILE(), and LAST_VALUE() to manipulate data in the project-db database. Also, we will consider how to use aggregate window functions. These window functions will be used together with the OVER() clause to query this database. By extension, we will use grouping functions like GROUPING SETS(), ROLLUP(), and CUBE() to retrieve sublevel and grand totals. 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 advanced SQL concept; so, a good foundation in writing SQL queries is vital to complete this project. I recommend that you should complete the project titled: “Introduction to SQL Window Functions” before you take this current project. The introductory project to SQL Window Functions will provide every necessary foundation to complete this current 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
Offers hands-on labs and interactive materials, which can be highly effective for learning
Provides opportunities to practice and apply newly acquired skills and knowledge
Includes a mix of media, such as videos, readings, and discussions, enhancing the learning experience
Taught by Arimoro Olayinka Imisioluwa, who has experience in SQL window functions
Requires prior experience with PostgreSQL, which may be a barrier for some learners
Assumes a good foundation in writing SQL queries, which may not be suitable for complete beginners

Save this course

Save SQL Window Functions for Analytics to your list so you can find it easily later:
Save

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 Window Functions for Analytics with these activities:
Review previous SQL window functions lessons
Refresh your memory on the basics of window functions before starting the course.
Browse courses on Window Functions
Show steps
  • Go over your notes or previous coursework on SQL window functions.
  • Review online resources or textbooks to reinforce your understanding.
Explore online tutorials on advanced window function techniques
Expand your knowledge of window functions by learning about advanced techniques and best practices.
Browse courses on Window Functions
Show steps
  • Identify reputable online resources for window function tutorials.
  • Review tutorials on specific techniques, such as partitioning, ordering, and aggregation.
  • Implement the techniques in your own SQL queries to gain hands-on experience.
Participate in a study group focused on window functions
Enhance your understanding of window functions by collaborating with peers and discussing different approaches.
Browse courses on Window Functions
Show steps
  • Find a study group or create your own with classmates.
  • Set regular meeting times to discuss window function concepts and solve problems together.
  • Share your knowledge and learn from the perspectives of others.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice window functions on complex SQL queries
Reinforce your understanding of window functions by applying them to real-world scenarios and datasets.
Browse courses on Window Functions
Show steps
  • Identify a dataset that you want to analyze.
  • Write SQL queries using window functions to extract meaningful insights from the dataset.
  • Test and refine your queries to optimize performance and accuracy.
Create a presentation on window functions
Solidify your knowledge of window functions by explaining their concepts and applications to a broader audience.
Browse courses on Window Functions
Show steps
  • Outline the key concepts of window functions.
  • Prepare visual aids to illustrate the functionality of window functions.
  • Practice delivering your presentation to improve clarity and engagement.
Write a blog post or article on a specific window function technique
Deepen your understanding of window functions by explaining a specific technique to others.
Browse courses on Window Functions
Show steps
  • Choose a window function technique that you want to focus on.
  • Research and gather information about the technique.
  • Write a clear and concise blog post or article explaining the technique and providing examples.
Build a data visualization dashboard using window functions
Apply your knowledge of window functions to create a powerful and interactive data visualization tool.
Browse courses on Window Functions
Show steps
  • Identify a dataset that you want to visualize.
  • Design a dashboard that incorporates window functions to provide insights from the data.
  • Use a data visualization tool to create the dashboard.
  • Share your dashboard with others and collect feedback.

Career center

Learners who complete SQL Window Functions for Analytics will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database administrators are responsible for managing the performance and security of the IT company's database. Window functions can be used to monitor the performance of a database and identify potential problems. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will learn how to use window functions to improve the performance of a database.
Data Analyst
Data analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. Window functions are a powerful tool that data analysts can use to perform a variety of tasks, such as finding trends, identifying outliers, and calculating moving averages. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will improve your data analysis skills, which can make you a more valuable asset to your company or organization.
Data Scientist
Data scientists are responsible for building and deploying machine learning models. Window functions can be helpful for building features for machine learning models. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system. By taking this course, you will learn how to use window functions to improve the performance of your machine learning models.
Database Developer
Database developers are responsible for designing and developing database systems. Window functions can be used to improve the performance of database queries. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will learn how to use window functions to improve the design and development of your database systems.
Business Analyst
Business analysts are responsible for identifying and solving business problems. Window functions can be used for data exploration. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will improve your ability to identify and solve business problems.
Market Research Analyst
Market research analysts are responsible for collecting and analyzing market data. Window functions can be used to identify trends and patterns in market data. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will improve your ability to collect and analyze market data.
Financial Analyst
Financial analysts are responsible for evaluating and forecasting financial performance. Window functions can be used to identify trends and patterns in financial data. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will improve your ability to evaluate and forecast financial performance.
Operations Research Analyst
Operations research analysts are responsible for solving business problems using mathematical models. Window functions can be useful for building mathematical models. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will learn how to use window functions to solve a variety of business problems.
Risk Analyst
Risk analysts are responsible for identifying and assessing risks. Window functions can be used to identify trends and patterns in risk data. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will improve your ability to identify and assess risks.
Quantitative Analyst
Quantitative analysts are responsible for developing and implementing quantitative models to solve business problems. Window functions can be useful for building quantitative models. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will learn how to use window functions to develop and implement your quantitative models.
Software Engineer
Software engineers are responsible for designing, developing and maintaining software. Window functions can be used to improve the performance of software. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system. By taking this course, you will learn how to use window functions to improve the performance of your software.
Systems Analyst
Systems analysts are responsible for designing and implementing systems. Window functions can be used to improve the performance of systems. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system. By taking this course, you will learn how to use window functions to improve the performance of your systems.
Web Developer
Web developers are responsible for designing and developing websites. Window functions can be used to improve the performance of websites. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system used by many businesses. By taking this course, you will learn how to use window functions to improve the performance of your websites.
User Experience Designer
User experience designers are responsible for designing the user interface of software. Window functions can be used to improve the user experience of software. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system. By taking this course, you will learn how to use window functions to improve the user experience of your software.
Technical Writer
Technical writers are responsible for creating technical documentation. Window functions can be used to document the functionality of software. This course will teach you how to use window functions in PostgreSQL, which is a popular database management system. By taking this course, you will learn how to use window functions to improve the quality of your technical documentation.

Reading list

We've selected eight 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 Window Functions for Analytics.
Provides a comprehensive guide to SQL window functions, covering both the theoretical foundations and practical applications. It good resource for users who want to learn more about window functions and how to use them effectively.
Provides a comprehensive overview of advanced SQL topics, including window functions. It valuable resource for anyone who wants to learn more about how to use SQL effectively.
Provides a comprehensive guide to using SQL window functions in SQL Server, covering both the theoretical foundations and practical applications. It good resource for users who want to learn more about window functions and how to use them effectively in SQL Server.
Provides a comprehensive overview of SQL performance. It covers topics such as window functions and how to use them efficiently.
Provides a beginner-friendly introduction to SQL window functions, with a focus on using them in real-world applications. It good resource for users who want to learn how to use window functions to solve specific problems.
Provides a comprehensive overview of using SQL Server for big data analytics. It covers topics such as using window functions for data analysis and data mining.
Comprehensive guide to the PostgreSQL database management system, including a chapter on window functions. It good resource for users who want to learn more about PostgreSQL and how to use window functions in this specific database.

Share

Help others find this course page by sharing it with your friends and followers:
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser