We may earn an affiliate commission when you visit our partners.
Sherif A. Tawfik Abbas
In this 1-hour long project-based course, you will learn how to perform deep filter operations over 1, 2 and 3 relationships. You will learn how to use the “in” field lookup to create a filter inside a filter. You will discover the difference between using a comma in a filter call and nesting filters via an example, and will see the difference between the implementation of the “comma” in the filter and the exclude methods.
Read more
In this 1-hour long project-based course, you will learn how to perform deep filter operations over 1, 2 and 3 relationships. You will learn how to use the “in” field lookup to create a filter inside a filter. You will discover the difference between using a comma in a filter call and nesting filters via an example, and will see the difference between the implementation of the “comma” in the filter and the exclude methods.
Read more
In this 1-hour long project-based course, you will learn how to perform deep filter operations over 1, 2 and 3 relationships. You will learn how to use the “in” field lookup to create a filter inside a filter. You will discover the difference between using a comma in a filter call and nesting filters via an example, and will see the difference between the implementation of the “comma” in the filter and the exclude methods.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/mrgiy9/query
Two deals to help you save
We found two deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
What's inside
Syllabus
Project Overview
Querying over relationships in Django can be challenging if one does not know the fine details of how the filter and exclude methods operate over relationships. This project will bridge the knowledge gap. You will perform deep filter operations over 1, 2 and 3 relationships. You will learn how to use the “in” field lookup to create a filter inside a filter. You will discover the difference between using a comma in a filter call and nesting filters via an example, and will see the difference between the implementation of the “comma” in the filter and the exclude methods.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Thoroughly investigates querying over relationships in Django, a vital component for data management
Enhances understanding of deep filter operations, empowering learners to effectively query complex relationships
Imparts knowledge on using the 'in' field lookup to create filters within filters, a technique for precise data retrieval
Emphasizes the distinction between comma usage and nested filters in filter calls, clarifying common misconceptions
Compares the implementation of the 'comma' in filter and exclude methods, providing a nuanced understanding of their functionality
Exclusively catered to learners residing in North America, limiting accessibility for those in other regions
Save this course
Save Query Django models across relationships to your list so you can find it easily later:
Save
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 Query Django models across relationships with these
activities:
Review linear algebra and calculus
Show steps
Reviewing linear algebra and calculus will help you refresh your skills in these essential mathematical topics, which are important for deep learning.
Browse courses on
Linear Algebra
Show steps
-
Review your notes from your linear algebra and calculus classes.
-
Complete some practice problems.
-
Take a practice test.
Review machine learning and data science concepts
Show steps
Reviewing machine learning and data science concepts will help you refresh your knowledge in these areas, which are essential for deep learning.
Browse courses on
Machine Learning
Show steps
-
Review your notes from your machine learning and data science classes.
-
Complete some practice problems.
-
Take a practice test.
Review "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Show steps
Reviewing this book will help you build a strong foundation in deep learning concepts and techniques, which will be essential for your success in this course.
View
Deep Learning
on Amazon
Show steps
-
Read the book carefully, taking notes as you go.
-
Complete the practice exercises at the end of each chapter.
-
Summarize the key concepts of each chapter in your own words.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group or discussion forum for deep learning
Show steps
Joining a study group or discussion forum will allow you to connect with other students, share knowledge, and get help with challenging concepts.
Browse courses on
Deep Learning
Show steps
-
Find a study group or discussion forum that is relevant to your interests.
-
Introduce yourself and participate in the discussions.
-
Ask questions and share your own insights.
Solve Leetcode problems on deep learning topics
Show steps
Solving LeetCode problems will help you develop your problem-solving skills and reinforce your understanding of deep learning concepts.
Browse courses on
Deep Learning
Show steps
-
Identify LeetCode problems that are relevant to the topics covered in the course.
-
Attempt to solve the problems on your own.
-
Review the solutions and explanations provided by LeetCode.
Create a blog post or video tutorial on a deep learning topic
Show steps
Creating a blog post or video tutorial will help you solidify your understanding of deep learning concepts and share your knowledge with others.
Browse courses on
Deep Learning
Show steps
-
Choose a deep learning topic that you are interested in and have a good understanding of.
-
Research the topic thoroughly and gather relevant information.
-
Write a blog post or create a video tutorial that explains the topic in a clear and concise way.
-
Share your blog post or video tutorial with others.
Contribute to an open-source deep learning project
Show steps
Contributing to an open-source deep learning project will allow you to gain practical experience and make a valuable contribution to the community.
Browse courses on
Deep Learning
Show steps
-
Find an open-source deep learning project that you are interested in.
-
Review the project's documentation and code.
-
Identify an area where you can make a contribution.
-
Submit a pull request with your changes.
Build a deep learning model for a real-world problem
Show steps
Building a deep learning model for a real-world problem will allow you to apply your skills to a practical problem and make a real impact.
Browse courses on
Deep Learning
Show steps
-
Identify a real-world problem that you can solve with deep learning.
-
Gather the necessary data.
-
Build a deep learning model and train it on the data.
-
Evaluate the performance of your model.
-
Deploy your model and use it to solve the real-world problem.
Review linear algebra and calculus
Show steps
Reviewing linear algebra and calculus will help you refresh your skills in these essential mathematical topics, which are important for deep learning.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Review your notes from your linear algebra and calculus classes.
- Complete some practice problems.
- Take a practice test.
Review machine learning and data science concepts
Show steps
Reviewing machine learning and data science concepts will help you refresh your knowledge in these areas, which are essential for deep learning.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review your notes from your machine learning and data science classes.
- Complete some practice problems.
- Take a practice test.
Review "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Show steps
Reviewing this book will help you build a strong foundation in deep learning concepts and techniques, which will be essential for your success in this course.
View
Deep Learning
on Amazon
Show steps
Show steps
Show steps
- Read the book carefully, taking notes as you go.
- Complete the practice exercises at the end of each chapter.
- Summarize the key concepts of each chapter in your own words.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group or discussion forum for deep learning
Show steps
Joining a study group or discussion forum will allow you to connect with other students, share knowledge, and get help with challenging concepts.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Find a study group or discussion forum that is relevant to your interests.
- Introduce yourself and participate in the discussions.
- Ask questions and share your own insights.
Solve Leetcode problems on deep learning topics
Show steps
Solving LeetCode problems will help you develop your problem-solving skills and reinforce your understanding of deep learning concepts.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Identify LeetCode problems that are relevant to the topics covered in the course.
- Attempt to solve the problems on your own.
- Review the solutions and explanations provided by LeetCode.
Create a blog post or video tutorial on a deep learning topic
Show steps
Creating a blog post or video tutorial will help you solidify your understanding of deep learning concepts and share your knowledge with others.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Choose a deep learning topic that you are interested in and have a good understanding of.
- Research the topic thoroughly and gather relevant information.
- Write a blog post or create a video tutorial that explains the topic in a clear and concise way.
- Share your blog post or video tutorial with others.
Contribute to an open-source deep learning project
Show steps
Contributing to an open-source deep learning project will allow you to gain practical experience and make a valuable contribution to the community.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Find an open-source deep learning project that you are interested in.
- Review the project's documentation and code.
- Identify an area where you can make a contribution.
- Submit a pull request with your changes.
Build a deep learning model for a real-world problem
Show steps
Building a deep learning model for a real-world problem will allow you to apply your skills to a practical problem and make a real impact.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Identify a real-world problem that you can solve with deep learning.
- Gather the necessary data.
- Build a deep learning model and train it on the data.
- Evaluate the performance of your model.
- Deploy your model and use it to solve the real-world problem.
Career center
Learners who complete Query Django models across relationships will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use logic and math skills to perform deep filter operations over large datasets, often across multiple relationships. This course teaches you how to perform complex filter operations over 1, 2, and 3 relationships, which can be essential for uncovering insights from data. By taking this course, you'll gain the skills needed to succeed as a Data Analyst.
Database Administrator
Database Administrator
Database Administrators are responsible for maintaining and optimizing databases, which often involve complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for troubleshooting and optimizing database performance. By taking this course, you'll gain the skills needed to succeed as a Database Administrator.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications, which often involve complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for building efficient and scalable software applications. By taking this course, you'll gain the skills needed to succeed as a Software Engineer.
Data Scientist
Data Scientist
Data Scientists use scientific methods to extract knowledge and insights from data, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for building predictive models and making data-driven decisions. By taking this course, you'll gain the skills needed to succeed as a Data Scientist.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding business processes and making data-driven recommendations. By taking this course, you'll gain the skills needed to succeed as a Business Analyst.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding customer needs and developing successful products. By taking this course, you'll gain the skills needed to succeed as a Product Manager.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding customer behavior and developing effective marketing campaigns. By taking this course, you'll gain the skills needed to succeed as a Marketing Manager.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding customer needs and developing effective sales strategies. By taking this course, you'll gain the skills needed to succeed as a Sales Manager.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding customer needs and developing effective customer success strategies. By taking this course, you'll gain the skills needed to succeed as a Customer Success Manager.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding business processes and making data-driven decisions. By taking this course, you'll gain the skills needed to succeed as an Operations Manager.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make investment recommendations, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding financial markets and making sound investment decisions. By taking this course, you'll gain the skills needed to succeed as a Financial Analyst.
Management Consultant
Management Consultant
Management Consultants help businesses to improve their performance, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding business processes and developing effective solutions. By taking this course, you'll gain the skills needed to succeed as a Management Consultant.
Human Resources Manager
Human Resources Manager
Human Resources Managers are responsible for the management of employees, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding employee needs and developing effective HR strategies. By taking this course, you'll gain the skills needed to succeed as a Human Resources Manager.
Project Manager
Project Manager
Project Managers are responsible for the planning and execution of projects, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding project requirements and developing effective project plans. By taking this course, you'll gain the skills needed to succeed as a Project Manager.
Recruiter
Recruiter
Recruiters are responsible for finding and hiring qualified candidates, which often involves complex filter operations across multiple relationships. This course teaches you how to perform deep filter operations over 1, 2, and 3 relationships, which can be essential for understanding candidate qualifications and developing effective recruiting strategies. By taking this course, you'll gain the skills needed to succeed as a Recruiter.
For more career information including salaries, visit:
OpenCourser.com/course/mrgiy9/query
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
Query Django models across relationships.
Save
This comprehensive book provides an in-depth exploration of Django's architecture, design patterns, and best practices. It empowers readers to build scalable, maintainable, and secure Django applications.
Classic guide to Django. It good resource for learning Django in-depth, and it can be helpful for understanding the concepts covered in this course. It is somewhat out of date, but still has valuable information.
Provides a comprehensive introduction to Django, covering the framework's core concepts, features, and best practices. Its clear explanations and hands-on examples make it suitable for beginners and experienced developers alike.
This beginner-friendly book offers a gentle introduction to Django's core concepts and features. Its approachable style and clear explanations make it an excellent starting point for those new to web development with Django.
Practical guide to building RESTful web services with Django. It covers topics such as RESTful design, JSON and XML serialization, and authentication. It can be helpful for understanding the concepts covered in this course, but it is more geared towards experienced Django developers.
Save
Good resource for learning Django. It covers the basics of Django, and it can be helpful for understanding the concepts covered in this course.
Save
Collection of Django examples. It can be helpful for finding solutions to specific problems, but it is not a comprehensive guide to Django.
Collection of best practices for Django development. It can be helpful for learning how to write more efficient and secure Django code, but it is not a comprehensive guide to Django.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mrgiy9/query
Share
Similar courses
Here are nine courses similar to
Query Django models across relationships.
Web Services Analysis With Python & Wireshark
OpenCourser.com/course/i73jow/web
Web Services Analysis With Python & Wireshark
Perform basic data analysis tasks using Java streams
OpenCourser.com/course/fa503d/perform
Perform basic data analysis tasks using Java streams
Modelling with WARP PLS
OpenCourser.com/course/ti7byf/modelling
Modelling with WARP PLS
Advanced Models in Smartpls
OpenCourser.com/course/ggf84u/advanced
Advanced Models in Smartpls
Javascript for Beginners: Primitive Data Types
OpenCourser.com/course/sn8lsb/javascript
Javascript for Beginners: Primitive Data Types
Learn Javascript - 21 Essential Array Methods
OpenCourser.com/course/i2e3o2/learn
Learn Javascript - 21 Essential Array Methods
Introduction to Data Analysis Using Google Spreadsheet
OpenCourser.com/course/tl9qag/introduction
Introduction to Data Analysis Using Google Spreadsheet
Sample-based Learning Methods
OpenCourser.com/course/mk6kp1/sample
Sample-based Learning Methods
Learning SAS: Reading Raw Data with the List Input Method
OpenCourser.com/course/xdoqqx/learning
Learning SAS: Reading Raw Data with the List Input Method
Effort
2 hours
Level
Advanced
Via
Coursera
Institution
Coursera Project Network
Instructor
Sherif A. Tawfik Abbas
Language
English
Good to know
Thoroughly investigates querying over relationships in Django, a vital component for data management
Enhances understanding of deep filter operations, empowering learners to effectively query complex relationships
Imparts knowledge on using the 'in' field lookup to create filters within filters, a technique for precise data retrieval
Emphasizes the distinction between comma usage and nested filters in filter calls, clarifying common misconceptions
Compares the implementation of the 'comma' in filter and exclude methods, providing a nuanced understanding of their functionality
Exclusively catered to learners residing in North America, limiting accessibility for those in other regions
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