Learn to master Data structure Algorithmic Programming Techniques. Learn algorithms through concepts and time analysis.
- 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.
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
How to Subscribe For Data structure & Algorithms for beginners for Data Science?
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