Udemy course Data Structures and Algorithms (C# code in GitHub) by Parisa Jalili Marandi
Data Structures and Algorithms (C# code in GitHub) is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the IT & Software category. Therefore, if you are looking to improve your IT & Software skills we recommend that you download Data Structures and Algorithms (C# code in GitHub) udemy course.
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Course data:
- Author: Parisa Jalili Marandi
- Course rating: 3.9
- Category: IT & Software
- Modality: Online
- Status: Available
- Idiom: English
Abouth Parisa Jalili Marandi
The instructor has 17 years of active experience in computer science and engineering :
What the udemy Data Structures and Algorithms (C# code in GitHub) course teaches?
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
Search, Sort, Binary Heaps, Binary Trees, Nary Trees (paired with C# implementations in an open source GitHub repo)
More information about the course Data Structures and Algorithms (C# code in GitHub)
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
