Search result for Data structures and algorithms examples Online Courses & Certifications
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Easy to Advanced Data Structures
by William Fiset- 4.5
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8.5 hours on-demand video
Data structures are amongst the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course provides you with high quality animated videos explaining a multitude of data structures and how they are represented visually....
$14.99
Graph Algorithms in Genome Sequencing
by Pavel Pevzner , Phillip Compeau- 0.0
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3 Weeks
Learn how graphs are used to assemble millions of pieces of DNA into a contiguous genome and use these genomes to construct a Tree of Life. In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn how graph algorithms are used in two fundamental problems in modern biology:...
$150
Cryptography
by (ISC)² Education & Training- 4.8
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Approx. 14 hours to complete
Cryptography is the practice and study of techniques for securing communications in the presence of third parties. Operate and Implement Cryptographic System: PKI Activity Operate and Implement Cryptographic System: Standards Operate and Implement Cryptographic System: Truly Random Operate and Implement Cryptographic System: Key Storage and Destruction Operate and Implement Cryptographic System: Factors Affecting Risk...
Mathematical Foundations of Machine Learning
by Dr Jon Krohn- 4.5
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15.5 hours on-demand video
Mathematics forms the core of data science and machine learning. Jon Krohn, this course provides a firm grasp of the mathematics — namely the linear algebra and calculus — that underlies machine learning algorithms and data science models. Understand the fundamentals of linear algebra and calculus, critical mathematical subjects underlying all of machine learning and data science...
$17.99
Capstone: Analyzing (Social) Network Data
by Christine Alvarado , Mia Minnes , Leo Porter- 4.7
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Approx. 18 hours to complete
We will provide you with a real-world data set and some infrastructure for getting started, as well as some warm up tasks and basic project requirements, but then it’ll be up to you where you want to take the project. Welcome and Course Introduction Project overview and timeline Introduction to (some) social network data...
Comprehensive Algorithms
by Jordan Hudgens- 4
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3 hours on-demand video
The videos review popular algorithms such as merge sort, radix sort, Huffman coding, and many more, along with some of the data structures that are utilized in combination with these algorithms, such as queues and stacks. I also review a number of graph algorithms and give introductions to additional advanced algorithm analysis concepts....
$11.99
Break Away: Programming And Coding Interviews
by Loony Corn- 4.5
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20 hours on-demand video
A course that teaches pointers, linked lists, general programming, algorithms and recursion like no one else Bit Manipulation: Work with bits and bit operations. Sorting and searching algorithms: Visualize how common sorting and searching algorithms work and the speed and efficiency of those algorithmsRecursion: Master recursion with lots of practice! 8 common and uncommon recursive problems explained....
$12.99
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Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
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Approx. 18 hours to complete
This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. Throughout the course, you will merge data from different data sets and handle common scenarios, such as missing data. Overview of Data Processing and Feature Engineering Data and Code Files...
Data-driven Astronomy
by Tara Murphy , Simon Murphy- 4.8
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Approx. 24 hours to complete
Science is undergoing a data explosion, and astronomy is leading the way. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. Week 2: Big data makes things slow...
VLSI CAD Part II: Layout
by Rob A. Rutenbar- 4.8
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Approx. 24 hours to complete
Our goal is for students to understand how the tools themselves work, at the level of their fundamental algorithms and data structures. ) and basic knowledge of data structures and algorithms (especially recursive algorithms). An understanding of basic digital design: Boolean algebra, Kmaps, gates and flip flops, finite state machine design. Implementation Mechanics: Data Structures & Constraints...
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