Search results
Data Structures and Algorithms Specialization. Master Algorithmic Programming Techniques. Advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving. Ace coding interviews by implementing each algorithmic challenge in this Specialization.
- Data Structures and Algorithms (I)
By the end of this course, you will be able to evaluate data...
- Data Structures and Algorithms (I)
By the end of this course, you will be able to evaluate data structures and algorithms in terms of asymptotic complexity, analyze storage/time complexity of iterative/recursive algorithms, implement.
Last year we've won in Request for Proposals from Coursera, and this year we've launched the Data Structures and Algorithms Specialization at Coursera. It is now the main option for studying algorithms and data structures on the platform.
Explore Data Structures and Algorithms courses that teach skills in problem-solving, algorithm optimization, and data management. Prepare for careers in software engineering, data science, and system design.
I liked mosh hamedanis algorithm and data structures course. The course mainly involved writing the data structure libraries from scratch and including related algorithms. It's taught in java but I did all the exercises in c# and c++ since that's what I use mostly at work.
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.
Algorithms Specialization offered by Stanford University through Coursera. Certificate: Link. Courses: Course 1 - Divide and Conquer, Sorting and Searching, and Randomized Algorithms - Done. Course 2 - Graph Search, Shortest Paths, and Data Structures - Done. Course 3 - Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming - Done.
