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Through a strong focus on intuition, examples, and real-world scenarios, you'll learn the inner workings of some very powerful data structures, and see how they can help you to both achieve great performance and solve seemingly complex problems.

Many problems in modern applications can be solved in a simple and elegant way by utilizing a specific data structure. In this course, Using Advanced Data Structures in Modern Applications, you will learn a variety of such data structures that are incredibly useful but normally outside the scope of introductory courses in programming or algorithmics. The course is loaded with examples and focuses on practicality rather than formulas and proofs. First, you will dive into the exciting world of hashing and see how different hash functions and hash table implementations perform very differently. Next, you will learn how bloom and cuckoo filters work and how they can be used to reduce communication between infrastructure components and prevent a cache from being wasted on one-off items. Then, you will discover how to efficiently index and query geographical positions and numeric properties using spatial indexing mechanisms such as geohashing, B-trees, R-trees, and M-trees. After that, you will explore the inner workings of disjoint-set data structures and see how they can be used to efficiently form clusters of related users of an application. Finally, you learn how tries and suffix trees work and how to easily build an auto-completion back-end upon them. By the end of this course, you will have a large toolbox of data structures at hand that can help you solve a number of apparently complex problems with minimal effort.

What's inside

Syllabus

Course Overview

Introduction

Hashing 1: Hash Functions and Hash Tables

Hashing 2: Saving Space with Probabilistic Bloom Filters

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores data structures, which are fundamental to software development and data science

Taught by Rasmus Amossen, a recognized expert in data structures and algorithms

Provides hands-on experience through examples and real-world scenarios

Covers advanced data structures that are not typically taught in introductory courses

Develops problem-solving skills and critical thinking abilities

Reviews summary

Practical advanced data structures for developers

According to students, this course is a highly practical and intuitive guide to advanced data structures. Learners frequently praise the instructor's ability to explain complex concepts with incredible clarity, often making seemingly difficult topics click into place. The emphasis on real-world applications and providing a valuable toolbox for modern performance issues is a consistent positive. While many find the course excellent for expanding their technical toolkit, a minority of learners felt the pace was too fast or that it assumes prior foundational knowledge, making it potentially challenging for absolute beginners. Some also noted that certain coding examples could be more robust or updated. Overall, it's widely recommended for developers seeking to optimize their applications.

Key modules like Hashing, Tries, and Spatial Indexing stand out.

"I found the sections on spatial indexing particularly useful for my work."

"The segment on Tries and Suffix Trees was a revelation for understanding text processing challenges."

"The coverage of Bloom and Cuckoo filters was particularly strong and immediately applicable."

Strongly emphasizes real-world use cases and utility.

"I particularly enjoyed the hands-on approach and how it focused on real-world applications rather than just theory."

"The practical focus is a strong point."

"It's not just theory; it's about how to *use* these effectively."

Instructor excels at making complex concepts accessible.

"The instructor explains complex concepts like Cuckoo Filters and R-trees with incredible clarity, using practical examples that made everything click."

"The instructor's intuition-first approach is brilliant."

"The explanations are super clear and the real-world examples make it easy to grasp."

Certain examples might feel slightly outdated in 'modern applications' context.

"The course has good content, but some parts feel a little dated in terms of the specific libraries or frameworks used in examples."

"The 'modern applications' aspect could be more current."

Some coding demonstrations could benefit from more robustness or detail.

"Sometimes I wished for more in-depth coding examples for the more complex structures."

"My main critique is that some of the coding demonstrations felt a bit basic for 'advanced' topics."

"Some examples could be more robust."

May be too fast-paced and assumes some foundational knowledge.

"I struggled with this course... the pace too fast and the explanations sometimes lacked the depth needed for someone not already familiar with these concepts. Not for beginners."

"Decent course, but felt a bit rushed in some parts, especially the more advanced tree structures."

"I had to look up a lot of external resources to keep up."

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 Using Advanced Data Structures in Modern Applications with these activities:

Read 'Data Structures and Algorithm Analysis in Java'

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Enhance your foundation by reading a comprehensive textbook on data structures and algorithm analysis.

View Data Structures and Algorithm Analysis in Java on Amazon

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Acquire the textbook 'Data Structures and Algorithm Analysis in Java' by Mark Allen Weiss.
Diligently study the chapters relevant to the course material.
Solve the practice exercises and coding challenges provided in the book.

Review basic data structures and algorithms

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Refresh your knowledge of fundamental data structures and algorithms to ensure a solid foundation for the course.

Browse courses on Data Structures

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Review lecture notes or online resources on data structures and algorithms.
Solve practice problems and code examples involving basic data structures and algorithms.

Complete tutorials on hash tables and bloom filters

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Reinforce your understanding of hash tables and bloom filters by following guided tutorials to implement and apply them.

Browse courses on Hash Tables

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Identify reputable online tutorials on hash tables and bloom filters.
Follow the tutorials, implement the data structures, and test their functionality.
Apply these techniques to a personal project or assignment.

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Join a study group or discussion forum with fellow students

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Collaborate with peers to reinforce concepts, share insights, and improve understanding through discussions and group projects.

Browse courses on Collaboration

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Identify or form a study group or discussion forum with other students enrolled in the same course.
Regularly meet or participate in online discussions to share knowledge, ask questions, and work on assignments together.
Collaborate on a group project that involves applying the concepts learned in the course.

Attend a workshop on algorithm design and optimization

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Deepen your understanding of the principles and techniques of algorithm design and learn how to optimize and improve their efficiency.

Browse courses on Algorithm Design

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Research and identify a reputable workshop on algorithm design and optimization.
Register and attend the workshop.
Actively participate in the workshop, ask questions, and take notes.
Implement and apply the techniques learned in the workshop to a real-world project.

Solve coding challenges on LeetCode or HackerRank

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Practice applying your skills and knowledge by solving coding challenges on platforms like LeetCode or HackerRank.

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Choose a reputable online coding challenge platform.
Select coding challenges that cover concepts related to data structures and algorithms.
Solve the coding challenges, paying attention to time and space complexity.
Analyze and refine your solutions to improve efficiency and accuracy.

Write a blog post or article on a specific data structure from the course

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Enhance your understanding and explain the concepts to others by writing a blog post or article on a specific data structure covered in the course.

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Select a particular data structure from the course material.
Research and gather information about the data structure.
Write a comprehensive blog post or article explaining the data structure, its implementation, and its applications.
Publish the blog post or article on a relevant platform.

Career center

Learners who complete Using Advanced Data Structures in Modern Applications will develop knowledge and skills that may be useful to these careers:

Software Engineer

A Software Engineer designs, develops, tests, deploys, and maintains software systems. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex software engineering problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

See salaries and explore the career path for Software Engineer

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines that collect, transform, and store data. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex data engineering problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

See salaries and explore the career path for Data Engineer

Data Scientist

A Data Scientist uses data to solve business problems. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex data science problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer designs, builds, and maintains machine learning models. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex machine learning problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

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Product Manager

A Product Manager manages the development and launch of new products. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex product management problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

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Project Manager

A Project Manager plans, executes, and closes projects. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex project management problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

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Business Analyst

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Quantitative Analyst

A Quantitative Analyst uses mathematics and statistics to solve financial problems. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex quantitative analysis problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

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Risk Analyst

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Fraud Analyst

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Security Analyst

A Security Analyst identifies and protects against security threats. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex security analysis problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

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Data Architect

A Data Architect designs and manages data systems. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex data architecture problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

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Database Administrator

A Database Administrator manages databases. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex database administration problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

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Systems Analyst

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Software Developer

A Software Developer designs, develops, and tests software applications. The course Using Advanced Data Structures in Modern Applications may be useful for this role because it teaches advanced data structures and algorithms that can be used to solve complex software development problems. For example, the course teaches how to use hash tables to store and retrieve data efficiently, how to use bloom filters to reduce communication between infrastructure components, and how to use tries and suffix trees to efficiently query sequences.

See salaries and explore the career path for Software Developer