Coursera - Data Structures and Algorithms Specialization

Apply algorithmic techniques (greedy algorithms, binary search, dynamic programming, etc.) and data structures (stacks, queues, trees, graphs, etc.) to solve 100 programming challenges that often appear at interviews at high-tech companies. Get an instant feedback on whether your solution is correct.

Apply the newly learned algorithms to solve real-world challenges: navigating in a Big Network or assembling a genome of a deadly pathogen from millions of short substrings of its DNA.

Learn exactly the same material as undergraduate students in "Algorithms 101" at top universities and more! We are excited that students from various parts of the world are now studying our online materials in the Algorithms 101 classes at their universities. Here is a quote from the website of Professor Sauleh Eetemadi from Iran University of Science and Technology: "After examining syllabus and course material from top universities including Stanford, Princeton and MIT we have chosen to follow the Data Structures and Algorithms Specialization from UCSD...due to excellent course material and its practical approach."

If you decide to venture beyond Algorithms 101, try to solve more complex programming challenges (flows in networks, linear programming, streaming algorithms, etc.) and complete an equivalent of a graduate course in algorithms!

Debugging
Software Testing
Algorithms
Data Structure
Computer Programming
Dynamic Programming
Binary Search Tree
Priority Queue
Hash Table
Stack (Abstract Data Type)
List
Graph Theory

HomePage:

https://anonymz.com/https://www.coursera.org/specializations/data-structures-algorithms

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