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Fundamental Data Structures & Algorithms using C language.
by Shibaji Paul- 4.5
15.5 hours on-demand video
Learn Data Structures and algorithms for Stack, Queue, Linked List, Binary Search Tree and Heap ( using C Programming ). Singly Linked List - Development of algorithm for various operations and then Implementation of each of them Doubly Linked List - Idea, definition, algorithm of various operations and implementations. Concept of Linked List - definition, why we need linked list....
$12.99
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
Approx. 34 hours to complete
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
Approximation Algorithms
by Mark de Berg- 4.7
Approx. 15 hours to complete
In order to successfully take this course, you should already have a basic knowledge of algorithms and mathematics. - Graph terminology, representations of graphs (adjacency lists and adjacency matrix), basic graph algorithms (BFS, DFS, topological sort, shortest paths) A list of these mistakes can be found under resources (in the document called "Errata")....
Delivery Problem
by Alexander S. Kulikov- 4.7
Approx. 14 hours to complete
We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science. Still, we’ll implement several solutions for real world instances of the travelling salesman problem. Brute Force Search Exact Algorithms Approximation Algorithms Approximation Algorithms Local Search...
Ordered Data Structures
by Wade Fagen-Ulmschneider- 4.8
Approx. 19 hours to complete
Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data. 4 Array and List Operations 4 Binary Search Trees...
Algorithms and Data Structures in Python (INTERVIEW Q&A)
by Holczer Balazs- 4.4
18 hours on-demand video
This course is about data structures, algorithms and graphs. I highly recommend typing out these data structures and algorithms several times on your own in order to get a good grasp of it. practical applications of binary search trees Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics....
$14.99
Byte-Sized-Chunks: Sorting and Searching Algorithms
by Loony Corn- 4.9
3.5 hours on-demand video
A visual way to master basic algorithms for strong fundamentals! Note: This course is a subset of our 20+ hour course 'From to 1: Data Structures & Algorithms' so please don't sign up for both:-) This is an animated, visual and spatial way to learn data structures and algorithms...
$12.99
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Algorithmic Thinking (Part 2)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
Approx. 12 hours to complete
As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Efficiency of binary search...
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
Approx. 24 hours to complete
Just one of the four experiments generates thousands gigabytes per second. Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays....
Computational Thinking for Problem Solving
by Susan Davidson- 4.7
Approx. 18 hours to complete
Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course....