Analysis

 

 


 

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E.g., 2016-12-07
E.g., 2016-12-07
E.g., 2016-12-07
Dec 12th 2016

En este curso integrarás lo aprendido en los cursos que componen esta especialidad. A partir de la resolución de casos en diferentes industrias representativas, utilizarás el módulo de ensamble en Watson Analytics a efecto de conjuntar la información que obtengas en la exploración y las predicciones realizadas con tus datos. El producto final es un informe de negocio con dashboards e infográficos interactivos que explicarán el problema de negocio en estos casos selectos.

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Dec 12th 2016

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

Average: 9 (2 votes)
Dec 12th 2016

Develop your ability to think strategically, analyze the competitive environment, and recommend firm positioning and value creation. In this course, we will explore the underlying theory and frameworks that provide the foundations of a successful business strategy and provide the tools you need to understand that strategy: SWOT, Competitor, Environmental, Five Forces, and Capabilities Analyses, as well as Strategy Maps. We'll apply these tools in case studies of industry leaders Google, Redhook, Piaggio and Apple.

Average: 8.1 (11 votes)
Dec 5th 2016

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools.

Average: 5.3 (3 votes)
Nov 28th 2016

Learn various methods of analysis including: unsupervised clustering, gene-set enrichment analyses, Bayesian integration, network visualization, and supervised machine learning applications to LINCS data and other relevant Big Data from high content molecular and phenotype profiling of human cells.

Average: 2.7 (3 votes)
Oct 11th 2016

A course examining the art of moving while standing still, and traveling far without moving. This will be approached through a study of form and variation techniques used in music. Students will be asked to make more from less while maintaining musical interest in their compositions.

Average: 7 (2 votes)
Sep 5th 2016

Learn the techniques of Engineering Mechanics, use them to interpret experiments and apply them to design. When you design anything, how do you know that the design will work? You need Engineering Mechanics - the science-based analysis that engineers use to predict how their designs will perform, so they can meet their responsibilities for performance and safety. It starts with physics - forces, equilibrium, acceleration, gravity - but then engineers adapt it to their own purposes.

Average: 9 (1 vote)
May 15th 2016

Discover the relationship between Big Data and the Internet of Things (IoT). The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020. In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.

Average: 7 (1 vote)
Mar 21st 2016

Ce cours contient les 7 premiers chapitres d'un cours donné aux étudiants bachelor de l'EPFL. Il est basé sur le livre "Introduction à l'analyse numérique", J. Rappaz M. Picasso, Ed. PPUR. Des outils de base sont décrits dans les 5 premiers chapitres. Les deux derniers chapitres abordent la question de la résolution numérique d'équations différentielles.

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Nov 25th 2015

Master the tools of predictive analytics in this statistics based analytics course.

Average: 1 (1 vote)
Sep 21st 2015

Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years.

Average: 8.8 (4 votes)
Jan 5th 2015

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.

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Oct 6th 2014

This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.

Average: 5 (2 votes)
Self Paced Course - Start anytime

The course offers undergraduate students a rather broad view on Automatic Control methodologies and techniques for feedback linear systems.

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Self Paced Course - Start anytime

Der Kurs "Business Process Management - Learn how to manage a process" befasst sich, neben den Grundlagen der Modellierung, mit den Themen Analyse, Verbesserung und Veränderung von Geschäftsprozessen und behandelt bei letzterem sowohl die organisatorische Umsetzung als auch die Umsetzung der IT.

Average: 7.7 (3 votes)
Jan 6th 2014

This course is about learning the fundamental computing skills necessary for effective data analysis.

Average: 6 (1 vote)
Oct 14th 2013

Clinical trials play a pivotal role in evidence-based medicine. This course will discuss the design, conduct, analysis, and interpretation of Phase I-IV clinical studies.

Average: 9 (1 vote)
Sep 2nd 2013

rgMOOC 2, or "Rhetoric and Composition: The Persuasive Power of Video Games as Paratexts," is a type of gMOOC that applies the principles of connectivism and game-based learning to rhetoric and composition studies. Participants will be playing and writing about video games from various game genres for 10 weeks, and develop rigorous academic research and writing skills through game studies.

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Apr 1st 2013

This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.

Average: 8 (1 vote)