Data Analysis in R

Unfortunately VU Amsterdam Summer School's trainings are no longer available on Springest

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Introduction to Data Analysis Using Excel

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About this course: The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small bu…

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R Programmeren

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Het softwarepakket R, ontworpen door Ross Ihaka en Robert Gentleman, is speciaal ontwikkeld voor statistiek en data-analyse. Het is een geb…

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Introduction to Data Analytics for Business

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About this course: This course will expose you to the data analytics practices executed in the business world. We will explore such key are…

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R Spatial

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Het softwarepakket R, ontworpen door Ross Ihaka en Robert Gentleman, is speciaal ontwikkeld voor statistiek en data-analyse. Het is een geb…

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Architecting Smart IoT Devices

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About this course: This course will teach you how to develop an embedded systems device. In order to reduce the time to market, many pre-ma…

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Combining and Analyzing Complex Data

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About this course: In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and m…

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Questionnaire Design for Social Surveys

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About this course: This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of resp…

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Survey Data Collection and Analytics Project (Capstone)

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About this course: The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing mu…

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Data Analysis Tools

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About this course: In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as …

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Big Data Analysis with Scala and Spark

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About this course: Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one o…

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warning Data Analysis in R is not available on Springest

"It was a very interesting course to get more familiar with R! Every lessons the statistics theory got explained and afterwards how to do the analysis in R. Recommendable to have your statistics knowledge available before the course starts since the emphasis is on the programming part and the course is quite intense. Course starts with the basics and at the end of week 2 you learn more about classiification and how to do clustering. " - 2017-08-07 11:53

"It was a very interesting course to get more familiar with R! Every lessons the statistics theory got explained and afterwards how to do the… read full review - 2017-08-07 11:53