About this Specialization
This specialization is intended for data scientists and software developers to create software that uses commonly available hardware. Students will be introduced to CUDA and libraries that allow for performing numerous computations in parallel and rapidly. Applications for these skills are machine learning, image/audio signal processing, and data processing.
| From | Johns Hopkins University via Coursera |
|---|---|
| Hours | 121 |
| Instructor | Chancellor Thomas Pascale |
| Language | English |
| Subjects | Programming Data Science |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Data 1 2 $50k
Data 2 $50k
Environmental Scientists $54k
Clinical Lab Scientists $62k
Outbreak Response Scientists $72k
scientists $88k
Data Analyst, Data Warehousing $93k
Atmospheric Scientists/Physical Oceanographer $103k
Computer Scientists $105k
Data Administrator / Data Modeler $108k
Data Integration Engineer| Data Warehouse $116k
Senior Research Scientists $164k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
|
Jun |
Introduction to Concurrent Programming with GPUs This course will help prepare students for developing code that can process large amounts of data in parallel. It will focus on foundational aspects of concurrent programming,... Coursera | Johns Hopkins University |
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Jun |
Introduction to Parallel Programming with CUDA This course will help prepare students for developing code that can process large amounts of data in parallel on Graphics Processing Units (GPUs). It will learn on how to... Coursera | Johns Hopkins University |
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Jun |
CUDA at Scale for the Enterprise This course will aid in students in learning in concepts that scale the use of GPUs and the CPUs that manage their use beyond the most common consumer-grade GPU installations.... Coursera | Johns Hopkins University |
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Jun |
This course will complete the GPU specialization, focusing on the leading libraries distributed as part of the CUDA Toolkit. Students will learn how to use CuFFT, and linear... Coursera | Johns Hopkins University |
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| From | Johns Hopkins University via Coursera |
|---|---|
| Hours | 121 |
| Instructor | Chancellor Thomas Pascale |
| Language | English |
| Subjects | Programming Data Science |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Data 1 2 $50k
Data 2 $50k
Environmental Scientists $54k
Clinical Lab Scientists $62k
Outbreak Response Scientists $72k
scientists $88k
Data Analyst, Data Warehousing $93k
Atmospheric Scientists/Physical Oceanographer $103k
Computer Scientists $105k
Data Administrator / Data Modeler $108k
Data Integration Engineer| Data Warehouse $116k
Senior Research Scientists $164k
Similar Courses
Sorted by relevance
