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Hands-On Data Structures

Shrirang Korde

A data structure is a collection of data values, relationships, and operations. Different data structures suit different applications, some specialized. They efficiently manage large data amounts, key to efficient algorithms. Data structures organize storage and retrieval in memory. Data structures serve as the basis for Abstract Data Types (ADT), defining the logical form of the data type. This course covers Linked Lists, Stacks, Queues, Recursion, Trees, Sorting, Threaded Binary Trees, AVL Trees, Graphs, and Hashing. Students will learn to implement and apply these structures.

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What's inside

Learning objective

  • Data structures programming,

Syllabus

> Linked List (Implementation / Coding)
> About DS Course
... and 93 others

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Reviews summary

Practical introduction to data structures

According to learners, this course provides a solid foundation in fundamental data structures and algorithms. Many appreciate the hands-on coding examples and live coding sessions, finding them highly practical and helpful for understanding concepts like Linked Lists, Stacks, Queues, Trees, and Graphs. Students report gaining a clearer understanding and feeling better prepared for technical interviews or practical applications. While generally well-received, some students noted that the course could benefit from a deeper dive into algorithmic analysis or cover more advanced topics.

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Learners who complete Hands-On Data Structures will develop knowledge and skills that may be useful to these careers:
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€106,000
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S$104,000
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Database Administrator
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Game Developer
Game development relies heavily on efficient data structures to manage game
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London
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Web Developer
Web developers use data structures to manage data and build dynamic web
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DevOps Engineer
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Data Analyst
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$145,000
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Quality Assurance Engineer
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€41,000
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Reading list

We've selected two 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 Hands-On Data Structures.
Introduction to Algorithms, fourth edition
Considered a classic textbook in algorithms,
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