Search result for Data structure and algorithm course Online Courses & Certifications
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Data Structures and Algorithms
by Brynn Claypoole , Abe Feinberg , Kyle Stewart-Franz- 0.0
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4 Months
Get hands-on practice with over 100 data structures and algorithm exercises and technical mentor support when needed to help prepare you for interviews and on-the-job scenarios. In this course you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm....
Identifying Patient Populations
by Laura K. Wiley, PhD- 4.5
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Approx. 13 hours to complete
In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data manipulations and combinations to increase the complexity and improve the performance of your algorithms. Accessing Course Data and Technology Platform...
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 2)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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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....
C++ For C Programmers, Part A
by Ira Pohl- 4.4
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Approx. 13 hours to complete
This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software. 1 Overview and Course Organization 1 C++ Generics and Functions 4 Graph as a Data Structure 2 Point and its Constructor 4 Using Dijkstra's Algorithm...
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. Materials Knowledge and Materials Data Science Materials Knowledge and Materials Data Science...
Graph Search, Shortest Paths, and Data Structures
by Tim Roughgarden- 4.8
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Approx. 15 hours to complete
The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis). Structure of the Web [Optional] Pathological Data Sets and Universal Hashing Motivation...
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Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
Unsupervised learning is used for discovering the underlying structure of the data and encompasses a variety of techniques in machine learning, from clustering to dimension reduction to matrix factorization. This course will allow you to utilize the Principal Component Analysis, and to visualize and interpret the results of your datasets such as the ones in the above description....
$12.99
Foundations of Computer Science
by Aspen Olmsted- 4.8
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Approx. 16 hours to complete
In the course sequence you will learn to write programs that utilize both procedural and object oriented techniques to solve business problems. Algorithms, History of Computing and Algorithm Efficiency Definition of an Algorithm Algorithm Efficiency Algorithm Reading Algorithm Analysis Reading Common Algorithm Reading Practice Algorithm Quiz Practice Algorithm Analysis Quiz Practice Common Algorithm Quiz...
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. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. How statistics, machine learning, and software engineering play a role in data science How to describe the structure of a data science project...
