Search result for What is data structure and algorithm Online Courses & Certifications
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Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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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....
Algorithmic Thinking (Part 1)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. 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. What Is algorithm efficiency?...
Algorithmic Thinking (Part 2)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. 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. What is Algorithmic Thinking?...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
By now you have definitely heard about data science and big data. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. What is Data Science? What is Software Engineering for Data Science? What is data science?...
Programming Fundamentals
by Andrew D. Hilton , Genevieve M. Lipp , Anne Bracy- 4.7
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Approx. 18 hours to complete
Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class....
What is Data Science?
by Rav Ahuja , Alex Aklson- 4.7
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Approx. 9 hours to complete
The art of uncovering the insights and trends in data has been around since ancient times. In this course, we will meet some data science practitioners and we will get an overview of what data science is today. Defining Data Science and What Data Scientists Do What is Data Science? Data Science Topics and Algorithms...
Big Data Modeling and Management Systems
by Ilkay Altintas , Amarnath Gupta- 4.4
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Approx. 13 hours to complete
In this course, you will experience various data genres and management tools appropriate for each. What is a Relational Data Model? What is a Semistructured Data Model? Slides: What Is A Data Model? Slides: What Is A Relational Data Model? Slides: What is a Semistructured Data Model? What is a Data Stream? Slides: What is a Data Stream?...
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Data for Machine Learning
by Anna Koop- 4.4
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Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. What Does Good Data look like? Data Acquisition and Understanding...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization. What Is Genomic Data Science? What Is Computer Science? Memory and Data Structures What is Computational Biology Software...
Algorithms, Part II
by Robert Sedgewick , Kevin Wayne- 4.9
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Approx. 63 hours to complete
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. Greedy Algorithm Kruskal's Algorithm...
