From 0 to 1: Data Structures & Algorithms in Java

Learn so you can see it with your eyes closed
4.51 (1365 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
From 0 to 1: Data Structures & Algorithms in Java
12 430
students
15 hours
content
Apr 2019
last update
$29.99
regular price

Why take this course?

🚀 Embark on a Data-Fueled Adventure with "From 0 to 1: Data Structures & Algorithms in Java"! 🚀

Welcome to an educational odyssey like no other! If you've ever felt that data structures and algorithms are as mysterious as the dark side of the moon, then this is the course for you. 🌕

Why Visual Learning? 🎬

  • Tap into Your Inner Vision: Our brains are hardwired to remember what we see. With a focus on visual and spatial learning, you'll retain these complex concepts more effectively. Imagine being able to recall data structures and algorithms effortlessly, as if you could draw them from memory. 🖼️
  • A Picture is Worth a Thousand Code Lines: Data Structures & Algorithms are notoriously tricky to grasp through text alone. They come alive when illustrated, making the learning process both enjoyable and deeply impactful. 📊
  • Expert Insights: This course isn't just theory—it's crafted by veterans from the tech giants like Google, Microsoft, and Flipkart. Their real-world experience is distilled into bite-sized lessons that will demystify these concepts for you. 🧑‍💻✨

Course Highlights:

  • Big-O Notation: Master the language of algorithm efficiency and understand how to evaluate computational complexity. 📈
  • Stacks and Queues: Learn how these fundamental data structures work, and why they're essential for managing data in a predictable manner. 📦⏱️
  • Trees: Explore the structure of trees and their applications, from binary search trees to advanced tree algorithms. 🌲
  • Heaps: Discover how heaps can optimize your processes and provide fast access to elements. ⛄️
  • Graphs & Graph Algorithms: Navigate through complex networks with confidence, and solve real-world problems by applying graph algorithms. 🗺️
  • Linked Lists: Understand the dynamics of linked lists and their practical applications in memory management and data representation. 🔗
  • Sorting Techniques: Learn various sorting algorithms and when to use them for efficient data organization. 📚
  • Searching Strategies: Gain insights into different searching methods to optimize data retrieval operations. 🔍

Who Should Take This Course?

  • Beginners eager to grasp the fundamentals of data structures and algorithms in a visual, intuitive manner.
  • Developers looking for a refresher on these concepts with a focus on Java implementation.
  • Anyone aiming to enhance their problem-solving skills and apply them effectively in their work.

Join us now and transform the way you think about data structures and algorithms! With "From 0 to 1: Data Structures & Algorithms in Java," you'll not only learn these concepts but also retain them, making you a more proficient and confident programmer. Enroll today and step into a world where code isn't just understood—it's visualized! 🌈🚀

Course Gallery

From 0 to 1: Data Structures & Algorithms in Java – Screenshot 1
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Comidoc Review

Our Verdict

The 'From 0 to 1: Data Structures & Algorithms in Java' course provides extensive content on essential data structures, algorithms, and complexities. Though it would benefit from more practice opportunities and dynamic programming discussions, its focus on graph algorithms and visualization makes it a valuable resource for learners aiming to strengthen their DS and algorithm understanding.

What We Liked

  • Comprehensive coverage of data structures & algorithms using Java
  • In-depth graph algorithms and code not commonly found in other courses
  • Visual explanations that help to vividly imagine concepts
  • Time and space complexity calculations provided for each algorithm

Potential Drawbacks

  • Lack of dynamic programming concept explanation
  • No thorough discussion of divide-and-conquer and greedy algorithms
  • Insufficient practice exercises and some inefficient or redundant code snippets
  • Instructor is less active in the Q&A section
679486
udemy ID
24/11/2015
course created date
01/05/2020
course indexed date
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