Search result for Computational analysis Online Courses & Certifications
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Machine Trading Analysis with Python
by Diego Fernandez- 3.3
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6 hours on-demand video
Learn machine trading analysis from basic to expert level through a practical course with Python programming language. Become a Machine Trading Analysis Expert and Put Your Knowledge in Practice Learning machine trading analysis is indispensable for finance careers in areas such as computational finance research, computational finance development, and computational finance trading mainly within investment banks and hedge funds....
$12.99
Data Analysis and Representation, Selection and Iteration
by Dr. Tim "Dr. T" Chamillard- 4.7
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Approx. 11 hours to complete
This course is the second course in the specialization exploring both computational thinking and beginning C programming. Throughout this course you'll learn about data analysis and data representation, which are computational thinking techniques that help us understand what sets of data have to tell us. DATA ANALYSIS Data Analysis Topic Understanding Check...
Machine Trading Analysis with R
by Diego Fernandez- 4.4
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5 hours on-demand video
Learn machine trading analysis from basic to expert level through a practical course with R statistical software. Become a Machine Trading Analysis Expert and Put Your Knowledge in Practice Learning machine trading analysis is indispensable for finance careers in areas such as computational finance research, computational finance development, and computational finance trading mainly within investment banks and hedge funds....
$12.99
Abstraction, Problem Decomposition, and Functions
by Dr. Tim "Dr. T" Chamillard- 4.7
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Approx. 17 hours to complete
This course is the third course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Prerequisite computational thinking knowledge: Algorithms and procedures and data collection, analysis, and representation...
CMA Management Tools- Effective Decision Making Techniques
by John Mclellan- 0.0
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1.5 hours on-demand video
Decision Analysis (20%of exam questions - Levels A, B, and C difficulty) Questions in this section will be most Level C - computational questions worth from 3 to 5 marks Cost/volume/profit analysis a. Breakeven analysis b. Analysis of multiple products Marginal analysis a....
$19.99
Advanced Linear Algebra: Foundations to Frontiers
by Maggie Myers , Robert van de Geijn- 0.0
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16 Weeks
Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix computations, and the analysis of the effects of floating-point arithmetic as performed by computers....
$49
Genome Assembly Programming Challenge
by Alexander S. Kulikov , Michael Levin , Pavel Pevzner , Neil Rhodes- 4.5
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Approx. 18 hours to complete
At this point, biologists knew that they were facing a previously unknown pathogen and that traditional methods would not suffice – computational biologists would be needed to assemble and analyze the genome of the newly emerged pathogen. The 2011 German outbreak represented an early example of epidemiologists collaborating with computational biologists to stop an outbreak....
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Computational Vision
by David Quigley- 0.0
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Approx. 8 hours to complete
We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding. Vision as a Computational Problem...
Data structure crash course
by Web Sharing- 4
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6 hours on-demand video
This course covers the design, analysis, and implementation of data structures and algorithms to solve computational problems using an object‐oriented programming language....
$12.99
Mining Massive Datasets
by Jeffrey D. Ullman , Jure Leskovec , Anand Rajaraman- 0.0
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7 Weeks
The major topics covered include: MapReduce systems and algorithms, Locality-sensitive hashing, Algorithms for data streams, PageRank and Web-link analysis, Frequent itemset analysis, Clustering, Computational advertising, Recommendation systems, Social-network graphs, Dimensionality reduction, and Machine-learning algorithms. PageRank and Web-link analysis Frequent itemset analysis Computational advertising...
$149
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