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[100%Off] Data Structures and Algorithms (C# code in GitHub, 2019-Aug) Udemy Coupon

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[100%Off] Data Structures and Algorithms (C# code in GitHub, 2019-Aug) Udemy Coupon

Course Instructor:

Parisa Jalili Marandi

Course Language:

English

Course Descreption:

[100% Off] Data Structures and Algorithms (C# code in GitHub, 2019-Aug) Udemy Coupon

Go to Offer

This course teaches a complete checklist of fundamental and superior information constructions and algorithms, a vital matter of coding interviews at tech corporations.

The course is paired with a C# GitHub open supply challenge (username: PiJei, repository title: AlgorithmsAndDataStructures) the place every algorithm is tagged with its house and time complexities (Big O), and examined for correctness with the very same examples used in this course.

If you’re a developer or a graduate scholar who’s making ready for coding interviews at giant tech corporations as Google, Amazon, Facebook, Apple, Microsoft, or smaller excessive tech corporations, you might have landed in the correct place. By attending this course you’ll study the important and complicated information constructions and algorithms, as soon as and for all. 

Some algorithms are taught over a medium dimension instance such that the algorithm repeats itself a number of occasions till it’s now not complicated and quite simply understood.

You are anticipated to take care of the data gained by way of this course for a really lengthy time frame. This is as a result of this course makes heavy utilization of animations , examples, and repetitions, that are the keys for deeply studying new matters.

The course has 45 lectures (~ 400 minutes) overlaying the next matters:

Search Algorithms:

  1. Linear Search

  2. Hash-Table Search

  3. Jump Search

  4. Exponential Search

  5. Fibonacci Search

  6. Binary Search

  7. Ternary Search

  8. Interpolation Search

Sort Algorithms:

  1. Bubble Sort

  2. Insertion Sort

  3. Selection Sort

  4. Quick Sort

  5. Merge Sort

  6. Radix Sort

  7. Heap Sort

Binary Heaps:

  1. Min Binary Heap

  2. Max Binary Heap

  3. Min-Max Binary Heap

    With these operations:

    1. Build

    2. Insert

    3. Delete

Binary Trees:

  1. Binary Search Tree

  2. AVL Tree

  3. RedBlack Tree

    With these operations:

    1. Insert

    2. Delete

Nary Trees:

  1. B Tree

  2. B+ Tree

    With these operations:

      a. Insert

      b. Delete

Instructors: Parisa Jalili Marandi

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