Search result for Master of science in parallel and distributed computing Online Courses & Certifications
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Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
This course introduces the fundamentals of high-performance and parallel computing. *The components of a high-performance distributed computing system *Types of parallel programming models and the situations in which they might be used This course 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....
Data Manipulation at Scale: Systems and Algorithms
by Bill Howe- 4.3
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Approx. 20 hours to complete
The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields....
Distributed Computing with Spark SQL
by Brooke Wenig , Conor Murphy- 4.5
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Approx. 14 hours to complete
It’s for students with SQL experience that want to take the next step on their data journey by learning distributed computing using Apache Spark. By the end of this course, students will hone their SQL and distributed computing skills to become more adept at advanced analysis and to set the stage for transitioning to more advanced analytics as Data Scientists....
Data Science & Real World Computing with Jupyter Notebook
by Packt Publishing- 3.6
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8.5 hours on-demand video
If you are familiar with Jupyter Notebook and want to learn how to use its capabilities to perform various data science tasks, this video course is for you! From data exploration to visualization, this course will take you every step of the way in implementing an effective data science pipeline using Jupyter....
$9.99
Scientific Computing™ with HPC, OpenMP, MPI, CUDA & AWS HPC
by Scientific Programming Team- 0.0
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3.5 hours on-demand video
This course has been specially designed to enable you to utilize parallel & distributed programming and computing resources to accelerate the solution of a complex problem with the help of HPC systems and Supercomputers. Components of a High Performance Systems (HPC) cluster, Properties of Login node(s), Compute node(s), Master node(s), Storage node(s), HPC networks and so on....
$12.99
Distributed Systems & Cloud Computing with Java
by Michael Pogrebinsky- 4.5
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7.5 hours on-demand video
Learn Distributed Java Applications at Scale, Parallel Programming, Distributed Computing & Cloud Software Architecture Have you always wanted to build software that reaches millions of users and impact people's lives? Master the theory of Distributed Systems, Distributed Computing and modern Software Architecture Gain the practical skills necessary to build Distributed Applications and Parallel Algorithms, focusing on Java based technologies...
$16.99
Beginning CUDA Programming
by Scientific Programming Team- 3.4
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2 hours on-demand video
Learn CUDA programming with GPGPU, kickstart your Big Data and Data Science Career! It aims to introduce the NVIDIA's CUDA parallel architecture and programming model in an easy-to-understand way where-ever appropriate. This is the first course of the Scientific Computing Essentials™ master class. Instruction are given in the bonus content section. CUDA Threads and Blocks in various combinations...
$12.99
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Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
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Approx. 7 hours to complete
Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner. - test thousands of different ML models in parallel to find the best performing one – a technique used by many successful Kagglers Parallel data processing strategies of Apache Spark...
High-Performance Computing with Python 3.x
by Packt Publishing- 4.2
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4 hours on-demand video
Build high-performance, distributed, and concurrent applications in Python You'll learn how to perform large-scale computations using Dask and implement distributed applications in Python; finally, you'll construct robust and responsive apps using Reactive programming. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery....
$11.99
Learning Path: Python: Programming for Python Users
by Packt Publishing- 3.4
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11.5 hours on-demand video
The core features and fundamentals are explored in a fun and practical way, encouraging the development of real-world projects while establishing a solid understanding of game development principles. He worked as a researcher at the National Research Council of Italy (CNR), where he was involved in a few parallel numerical computing and scientific visualization projects....
$12.99
