Data structure & Algorithms for beginners for Data Science

Data structure & Algorithms for beginners for Data Science

Data structure & Algorithms for beginners for Data Science
Data structure & Algorithms for beginners for Data Science

Data structure & Algorithms for beginners for Data Science

Learn to master Data structure Algorithmic Programming Techniques. Learn algorithms through concepts and time analysis

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
Who this course is for:
  • Beginner who have little programming experience , willing to learn and pursue data science career.
Data structure & Algorithms for beginners for Data Science

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Santosh Kumar

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