Data Structures A-Z : Data Structures + Algorithms Bootcamp
What you will learn
Understand the coding principles and Understand How to write code in efficient way by help of choosing right data structures and efficient algorithms
How to choose right data structures and right algorithms for your need
Understand concept behind data structures like Arrays, Linked Lists, Hash tables, Trees, Graph, Stacks, Queues, and Sort algorithms and Search algorithms
Understand the fundamentals of the Data structures and Algorithms
Understand popular algorithms, and how to use it when you need.
Learn everything you need to crack difficult coding interviews.
Reason about applicability and usability of Data Structures
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Comidoc Review
Our Verdict
After thoroughly synthesizing 20 user testimonials, strengths in this Data Structures A-Z course include a comprehensive curriculum that covers data structures and algorithms in depth with hands-on coding examples. The engaging teaching style, starting from the basics and moving to advanced topics, were also praised. However, several weaknesses must be considered: users reported difficulty understanding the accent, subtitles did not accurately reflect the words spoken due to the strong accent, absence of notes or definitions for new terms, and uneven lecture pace. While there are evident strengths in this course, possible challenges include overcoming language barriers and engaging with detailed lectures that may be too slow on basic topics.
What We Liked
- Comprehensive coverage of data structures and algorithms, including arrays, linked lists, hash tables, trees, graphs, stacks, queues, sort algorithms, and search algorithms
- Hands-on approach with coding examples, providing real-world context
- Instructor's teaching style is clear and engaging
- Explanations start from the basics and progress to advanced concepts
Potential Drawbacks
- Accent can be challenging to understand, especially for non-native speakers
- Subtitles may not accurately reflect the words due to the strong accent
- Notes or definitions are not provided for terms introduced during lectures
- Lecture pace can be uneven, with unnecessary details on simple topics and insufficient explanation of advanced ones