Data Structures and Algorithms (C# code in GitHub)
Data Structures and Algorithms (C# code in GitHub)
Duration: 6h34m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.46 GB
Genre: eLearning | Language: English
Duration: 6h34m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.46 GB
Genre: eLearning | Language: English
Search, Sort, Binary Heaps, Binary Trees, Nary Trees (paired with C# implementations in an open source GitHub repo)
What you'll learn
Sort algorithms (bubble, insertion, selection, quick, merge, heap, radix), Search algorithms (linear, hash-table, binary, ternary, jump, exponential, fibonacci), Binary Search Trees, AVL trees, Red-Black trees, B-Trees, B+Trees, Min Binary Heap, Max Binary Heap, Min-Max Binary Heap
Requirements
Some familiarity with basics in computer science may be useful but is not a must
Description
This course teaches a comprehensive list of
basic
and
advanced
data structures and algorithms
, an essential topic of
coding interviews at tech companies.
The course is paired with
a C# GitHub open source project
(username: PiJei, repository name: AlgorithmsAndDataStructures)
where each algorithm is tagged with its
space and time complexities (Big O)
, and tested for correctness with the exact same examples used in this course.
If you are a developer or a graduate student who is
preparing for coding interviews
at large tech firms as Google, Amazon, Facebook, Apple, Microsoft, or smaller high tech companies, you have landed in the right place. By attending this course you will learn the essential and complex data structures and algorithms, once and for all.
Some algorithms are taught over a medium size example such that the algorithm repeats itself several times until it is no longer complex and rather easily understood.
You are expected to maintain the knowledge gained via this course for a very long period of time. This is because this course makes heavy usage of animations , examples, and repetitions, which are the keys for deeply learning new topics.
The course has 45 lectures (~ 400 minutes) covering the following topics:
Search Algorithms:
Linear Search
Hash-Table Search
Jump Search
Exponential Search
Fibonacci Search
Binary Search
Ternary Search
Interpolation Search
Sort Algorithms:
Bubble Sort
Insertion Sort
Selection Sort
Quick Sort
Merge Sort
Radix Sort
Heap Sort
Binary Heaps:
Min Binary Heap
Max Binary Heap
Min-Max Binary Heap
With these operations:
Build
Insert
Delete
Binary Trees:
Binary Search Tree
AVL Tree
RedBlack Tree
With these operations:
Insert
Delete
Nary Trees:
B Tree
B+ Tree
With these operations:
a. Insert
b. Delete
Who this course is for:
Anyone preparing for coding interviews at GAFAM, or high tech firms
Students of computer science/engineering
More Info