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30-Day Money-Back Guarantee

This course includes:

  • 15 hours on-demand video
  • 116 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
IT & Software Other IT & Software Java Algorithms

From 0 to 1: Data Structures & Algorithms in Java

Learn so you can see it with your eyes closed
Rating: 4.2 out of 54.2 (1,028 ratings)
9,194 students
Created by Loony Corn
Last updated 4/2019
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Visualise - really vividly imagine - the common data structures, and the algorithms applied to them
  • Pick the correct tool for the job - correctly identify which data structure or algorithm makes sense in a particular situation
  • Calculate the time and space complexity of code - really understand the nuances of the performance aspects of code
Curated for the Udemy for Business collection

Requirements

  • Basic knowledge of programming is assumed, preferably in Java

Description

This is an animated, visual and spatial way to learn data structures and algorithms

  • Our brains process different types of information differently - evolutionarily we are wired to absorb information best when it is visual and spatial i.e. when we can close our eyes and see it
  • More than most other concepts, Data Structures and Algorithms are best learnt visually. These are incredibly easy to learn visually, very hard to understand most other ways
  • This course has been put together by a team with tons of everyday experience in thinking about these concepts and using them at work at Google, Microsoft and Flipkart

What's Covered:

  • Big-O notation and complexity
  • Stacks
  • Queues
  • Trees
  • Heaps
  • Graphs and Graph Algorithms
  • Linked lists
  • Sorting
  • Searching

Who this course is for:

  • Yep! Computer Science and Engineering grads who are looking to really visualise data structures, and internalise how they work
  • Yep! Experienced software engineers who are looking to refresh important fundamental concepts

Course content

17 sections • 67 lectures • 14h 58m total length

  • Preview02:00

  • Why are Data Structures And Algorithms important?
    Preview15:04

  • Performance and Complexity
    16:02
  • The Big-O Notation
    15:58
  • What is the complexity of these pieces of code?
    19:13

  • The Linked List - The Most Basic Of All Data Structures
    19:55
  • Linked List Problems
    10:25
  • Linked Lists vs Arrays
    10:27

  • Meet The Stack - Simple But Powerful
    15:40
  • Building A Stack Using Java
    16:53
  • Match Parenthesis To Check A Well Formed Expression
    11:21
  • Preview08:51
  • Meet The Queue - A Familiar Sight In Everyday Life
    14:11
  • The Circular Queue - Tricky But Fast
    19:44
  • Build A Queue With Two Stacks
    17:30

  • Sorting Trade-Offs
    10:52
  • Selection Sort
    15:24
  • Bubble Sort
    14:39
  • Insertion Sort
    14:32
  • Shell Sort
    14:17
  • Merge Sort
    19:23
  • Quick Sort
    15:30
  • Binary Search - search quickly through a sorted list
    11:10

  • Meet The Binary Tree - A Hierarchical Data Structure
    13:03
  • Breadth First Traversal
    Preview18:43
  • Depth First - Pre-OrderTraversal
    14:35
  • Depth First - In-Order and Post-Order Traversal
    13:51

  • The Binary Search Tree - an introduction
    09:49
  • Insertion and Lookup in a Binary Search Tree
    17:00

  • Minimum Value, Maximum Depth And Mirror
    12:14
  • Count Trees, Print Range and Is BST
    14:38

  • The Heap Is Just The Best Way to Implement a Priority Queue
    17:15
  • Meet The Binary Heap - It's A Tree At Heart
    12:39
  • The Binary Heap - Logically A Tree Really An Array
    17:13
  • The Binary Heap - Making It Real With Code
    07:38
  • Heapify!
    19:32
  • Insert And Remove From A Heap
    16:34

Instructor

Loony Corn
An ex-Google, Stanford and Flipkart team
Loony Corn
  • 4.2 Instructor Rating
  • 21,344 Reviews
  • 127,019 Students
  • 73 Courses

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years  working in tech, in the Bay Area, New York, Singapore and Bangalore.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!

We hope you will try our offerings, and think you'll like them :-)

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