in ,

Data Structure & Algorithms For Beginners For Data Science100%OFF 

100%OFF $0 $99.99

Get “Data Structure & Algorithms For Beginners For Data Science” – Downloaded 1 time –

What you’ll learn

  • Apply basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.
  • Apply various data structures such as stack, queue, hash table, priority queue, binary search tree, graph and string to solve programming challenges.
  • Apply graph and string algorithms to solve real-world challenges: finding shortest paths
  • Solve complex programming challenges using advanced techniques

Requirements

  • Basic computer programming
  • Basic Mathematics knowledge

Description

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming.

You will learn a lot of theory: how to sort data and how it helps for searching. How to break a large problem into pieces and solve them recursively and it makes sense to proceed greedily.

This course contains of these below mentioned topic:

  • Recursion.
  • Algorithm run time analysis
  • Arrays
  • Stack
  • Linked list
  • Data Structure

  • Binary Tree
  • Binary Search Tree
  • AVL Tree
  • Heap tree
  • Queue
  • Sorting
  • Hash Table
  • Graph Theory
  • Magic Framework
  • Computer Programming
  • Dynamic Programming

Report Problem