Data Structures and Algorithms for Coding Interview
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Welcome to the course “Data Structures and Algorithms for Coding Interview”.
Want to work in a big digital business like Google, Microsoft, Facebook, Netflix, Amazon, or another but are scared by the job’s base of data structures and algorithmic skills?
Many “self-taught” programmers believe that one of the biggest disadvantages they suffer when compared to college-educated computer science graduates is a lack of understanding of algorithms, data structures, and the infamous Big-O Notation. Learn the essential building blocks of computer science to place yourself on the same level as someone with a computer science degree, which will offer you a significant advantage during interviews.
This course will teach you the following:
>> Analysis of Algorithm Run Time – Big O – O(n) Notation
>> Array (1D, 2D Array)
>> The Linked List (All Types of Linked List)
>> Data Structure Stack
>> Data Structure for Queues
>> Binary Tree (Array Implementation, Linked List Implementation, BFS/DFS Traversal, and More)
>> Tree of Binary Searches
>> The Binary Heap
>> The AVL Tree
>> Data Structure Trie
>> Algorithms for Searching
>> Iteration
Algorithms for Sorting
Dynamic Programming (DP)
>> *Hashing
>> Graph*
I am neither a marketing or a salesperson, unlike most educators. I am a self-taught programmer (I studied statistics rather than computer science) who has worked and managed engineering teams and has participated in these interviews as both an interviewee and an interviewer.
Barik’s classes will lead you on an understanding of complicated subjects that you never believed possible, thanks to his background in educational statistics and coding.
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