Data Analysis in R

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Provider rating: starstarstarstarstar_half 9.3 VU Amsterdam Summer School has an average rating of 9.3 (out of 3 reviews)

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8
Average rating for Data Analysis in R
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Rob van der Kruijs
Data analist
8
Data Analysis in R

"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

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VU Amsterdam Summer School offers their products as a default in the following regions: Amsterdam

Description

With the increasing use of alternative software packages like R in data analysis, now is the time to learn their ins and outs. The large number of active programmers creating R packages makes this an up-to-date programme providing a huge range of statistical analyses. Researchers also use R to write functions for analysing data, or to create professional plots.

This course focuses upon understanding statistical models and analysing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics using an overarching framework of generalized linear modelling. We start with descriptive statistics, before moving on to …

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With the increasing use of alternative software packages like R in data analysis, now is the time to learn their ins and outs. The large number of active programmers creating R packages makes this an up-to-date programme providing a huge range of statistical analyses. Researchers also use R to write functions for analysing data, or to create professional plots.

This course focuses upon understanding statistical models and analysing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics using an overarching framework of generalized linear modelling. We start with descriptive statistics, before moving on to basic tests and simple regression. You also learn how to analyse the multi-item scales which are often applied in survey research using exploratory and confirmatory factor analysis. We then introduce the generalized linear framework to analyse non-normally distributed variables and, lastly, multi-level modelling.

Throughout the course you will work with R, conducting exercises that teach you how to analyse multi-item scales, how to analyse relationships among binary and interval variables and how to apply generalized linear regression models.

At the end of this course you can:

  • Evaluate the quality of quantitative data sources.
  • Choose the appropriate method for an analysis, depending upon the data source.
  • Conduct various statistical tests.
  • Analyse data using generalized linear framework.
  • Decide when to use latent variable modelling.
  • Enjoy your developed programming skills.
8
Average rating for Data Analysis in R
Based on 1 review
starstarstarstarstar_border
Rob van der Kruijs
Data analist
8
Data Analysis in R

"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

There are no frequently asked questions yet.