Data structure & Algorithms for beginners for Data Science | 100% Off

Free Certification Title Name: Data structure & Algorithms for beginners for Data Science

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

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


  • Basic computer programming.
  • Basic Mathematics knowledge.

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.
  • Solve complex programming challenges using advanced techniques.
  • Apply graph and string algorithms to solve real-world challenges: finding the shortest paths.

Course Content:




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.

Who this course is for:

  • A beginner who have little programming experience, willing to learn and pursue a data science career.

This course includes:

  • 13 hours of on-demand video.
  • 17 downloadable resources.
  • Full lifetime access.
  • Access on mobile and TV.
  • Certificate of Completion.

Created by Chandramouli Jayendran


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