Search result for Applications of complex analysis Online Courses & Certifications
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Foundations of Computer Science
by Aspen Olmsted- 4.8
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Approx. 16 hours to complete
Algorithms, History of Computing and Algorithm Efficiency Definition of an Algorithm History of Computing History of Computing Reading Algorithm Analysis Reading Practice History of Computing Quiz Practice Algorithm Analysis Quiz Continuation of Networking Overview Develop computer programs that utilize collections of variables to solve business and mathematical problems...
Reproducible Research
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.6
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Approx. 8 hours to complete
Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. Scripting Your Analysis Structure of a Data Analysis (part 1) Structure of a Data Analysis (part 2) Organizing Your Analysis A Note of Explanation Determine the reproducibility of analysis project...
Toward the Future of iOS Development with Swift
by Justin-Nicholas Toyama , Frank Ayars , Ralf Brockhaus- 3.8
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Approx. 21 hours to complete
Associate the relationship of Swift and Objective-C and their use in iOS and Mac (OS X) programming Distinguish how both programming languages can be used together in applications Demonstrate how to write applications entirely in Swift with the help from several iOS programming samples Using Arrays /Modifying Values of Arrays Properties of Dictionaries Properties of Closures iPhone Applications and More...
Robotics: Locomotion Engineering
by Dan Koditschek- 0.0
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12 Weeks
This course, part of the Robotics MicroMasters program, will teach you how to think about complex mobility challenges that arise when robots are deployed in unstructured human and natural environments. The design and analysis of agile, bioinspired, sensorimotor systems How to develop simplified models of complex dynamic systems...
$349
Communicating Data Science Results
by Bill Howe- 3.6
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Approx. 8 hours to complete
Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. In order to complete this assignment, you will need to make use of Amazon Web Services (AWS)....
Pharmaceutical and Medical Device Innovations
by Stephen T Parente- 4.4
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Approx. 13 hours to complete
This course in the Healthcare Marketplace specialization gives the learner an in-depth view of the intellectual property creation that is vital to creating breakthrough technologies. Included is an understanding of the strategy deployed for pricing drugs and new technologies as well as the market sizing exercise to identify where future research and development investments should be made....
Linear Circuits 2: AC Analysis
by Dr. Bonnie H. Ferri , Dr. Joyelle Harris- 4.7
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Approx. 28 hours to complete
Some practical applications in sensors are demonstrated. Module 1: AC Circuit Analysis Introduction to Linear Circuits 2: AC Analysis 4 Circuit Analysis with AC Impedances 5 AC Circuit Analysis Example 3 Frequency Spectra of Real Signals 6 Bode Plot of RC Circuits 7 Bode Plot of RLC Circuits 5 (Optional) Quick Review of Complex Numbers...
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Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
Data Structures and Algorithms (I)
by Junhui DENG- 0.0
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Approx. 26 hours to complete
By learning this course, you will get a comprehensive grasp of vector and list and the ability to use them in solving real problems. By the end of this course, you will be able to evaluate data structures and algorithms in terms of asymptotic complexity, analyze storage/time complexity of iterative/recursive algorithms, implement...
Data Structures and Algorithms (II)
by Junhui DENG- 0.0
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Approx. 37 hours to complete
By learning this course, you will get a comprehensive grasp of stack, queue, binary tree, graph and BST structures and algorithms, as well as their applications. Algorithms used to solve complex problems Principles and methods in the design and implementation of various data structures Skills for algorithm design and performance analysis...
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