Data Structures (training)

Colleagues, in the “Data Structures” training program you will acquire high-demand skills in Java, Graph Theory, Data Structures, Algorithms, C++ (Programming Language), Theoretical Computer Science, Debugging, C (Programming Language), and Programming Principles. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. This program will address key technical questions involving: What is a good strategy of resizing a dynamic array? How priority queues are implemented in C++, Java, and Python? How to implement a hash table so that the amortized running time of all operations is O(1) on average? What are good strategies to keep a binary tree balanced? You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space. Skill-based training modules focus on: 1) Basic Data Structures, 2) Dynamic Arrays and Amortized Analysis, 3) Priority Queues and Disjoint Sets, 4) Hash Tables, and 5) Binary Search Trees, and 6) Binary Search Trees 2.

Enroll today (teams & execs welcome): https://imp.i384100.net/e1Pnk6 

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