Advanced R programming topics course in Leuven

wawitsrLast call for registration of the course on Advanced R programming topics.

Next week on February 17/18, the yearly R course on Advanced R programming topics in Leuven (Belgium) is scheduled.
Registration can be done at https://lstat.kuleuven.be/training/coursedescriptions/AdvancedprogramminginR.html.

The course is rewritten based on 3 years of extensive customer feedback and because of the tremendous evolution R has encountered in the last years.
You'll learn the following in this 2-day course:

  • functions and vectorisation
  • control flow
  • data handling using data.table (aggregation, rbinding, reshaping)
  • apply family of functions, split/apply/combine
  • parallelisation
  • error handling & debugging
  • building reports with latex & Sweave
  • building reports with latex/markdown and knitr
  • S3 & S4 classes, methods & generics
  • environments, search path, namespaces
  • creating your own R package
  • documenting your R package with Roxygen
  • building a vignette
  • R CMD check/build/install
  • unit testing of your functions
  • building your own corporate R package repository

Open Data in Belgium - release of BelgiumStatistics R package

On 22/10/2015, the Belgium government launched its Open Data initiative by releasing a number of datasets related to population statistics, fiscal information, 'kadaster', the 2011 census and some tools. Because BNOSAC works a lot with these kind of data and because we like to promote open data, an R package called BelgiumStatistics was made available for R users at https://github.com/jwijffels/BelgiumStatistics

opendatadataset

The package contains all the datasets released by Statistics Belgium (Bevolking, Werk, Leefmilieu, Census 2011) under the 'Licentie open data'. Readily available to R users. Thanks to the open data, analysing and visualising Belgium data has now become a lot smoother as the example below shows.

require(BelgiumStatistics)
require(data.table)
require(BelgiumMaps)
require(leaflet)
data(TF_SOC_POP_STRUCT_2015) ## Part of BelgiumStatistics
data(mapbelgium.fusiegemeenten.wgs) ## Part of BelgiumMaps (not released yet)

x <- as.data.table(TF_SOC_POP_STRUCT_2015)
x <- x[, list(MS_POPULATION = sum(MS_POPULATION),
              Foreigners = sum(MS_POPULATION[TX_NATLTY_NL == "Vreemdelingen"]) / sum(MS_POPULATION),
              Age = 100 * sum(MS_POPULATION * CD_AGE) / sum(MS_POPULATION),
              Females = 100 * sum(MS_POPULATION[CD_SEX == "F"]) / sum(MS_POPULATION)),
       by = list(CD_MUNTY_REFNIS, TX_MUNTY_DESCR_NL)]
x <- setDF(x)

mymap <- merge(mapbelgium.fusiegemeenten.wgs,
               x, by.x = "ORDER08", by.y = "CD_MUNTY_REFNIS", all.x=TRUE, all.y=FALSE)
mymap <- subset(mymap, !is.na(Foreigners))
pal <- colorNumeric(palette = "Blues", domain = mymap$Foreigners)
leaflet(mymap) %>%
  addTiles() %>%
  addPolygons(stroke = FALSE, smoothFactor = 0.2, fillOpacity = 0.85, color = ~pal(Foreigners))
 

 beplot

If you are interested in geographical analysis or visualisations, Get in touch.
 

 

Text Mining with R

Last week, we had a great course on Text Mining with R at the European Data Innovation Hub. For persons interested in text mining with R, another 1-day crash course is scheduled at the Leuven Statistics Research Center (Belgium) on November 17 (http://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r). The following elements are covered in the course.

  • Import of (structured) text data with focus on text encodings. Detection of language
  • Cleaning of text data, regular expressions
  • String distances
  • Graphical displays of text data
  • Natural language processing: stemming, parts-of-speech (POS) tagging, tokenization, lemmatisation, entity recognition
  • Sentiment analysis
  • Statistical topic detection modelling and visualisation (latent dirichlet allocation)
  • Automatic classification using predictive modelling based on text data

topicplot

More information on the course & the registration: http://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r

If you are interested in applying Text Mining techniques on your data, get in touch: index.php/contact/get-in-touch

R courses on basic R, advanced R, statistical machine learning with R, text mining with R, spatial modelling with R and R package building

Waw, our course list for teaching R is getting bigger and bigger. We have now courses on basic, R, advanced R, R package building, statistical machine learning with R, text mining with R and spatial analysis with R. All face-to-face courses given in Belgium and scheduled in the coming months.

EducateR brandon

Some courses are given at the European Data Innovation Hub (Brussels, Belgium), other courses are given through the Leuven Statistics Research Center (Leuven, Belgium). From today on, you can register for the following courses regarding the use of R.
Prices are set to 300€ per course day + taxes.
For detailed information on the course content, have a look at the pdf which can be found here.

Courses given at the European Data Innovation Hub (Brussels, Belgium) - http://www.datainnovationhub.eu

Courses given at LStat (Leuven, Belgium) - http://lstat.kuleuven.be/training/index.htm

Hope to see you soon.

PS. Thanks Brandon for allowing us to use your wonderfull logo

R courses

For persons interested in advancing their knowledge on R and data science with R, BNOSAC offers a range of courses for R users.
These cover courses on

  • R analytics (Statistical Machine Learning with R, Text mining with R, Applied Spatial modelling with R)
  • R programming (R for starters, Common data manipulation for R programmers, Reporting with R, Creating R packages and R repositories, Managing R processes, Using SVN/git with RStudio, Data connectivity using R, Integration of R into web applications)
  • Oracle R Enterprise

For more information, go to images/bnosac/bnosac_courses_r.pdf

rtraining

UseRs interested in one of these courses can follow one of the scheduled courses listed below or request for hands-on training sessions at your site. The scheduled courses are given in Belgium.


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Statistical courses in cooperation with LStat:

  • Statistical Machine Learning with R: 28/10/2015 & 29/10/2015
  • Text mining with R: 17/11/2015 (new)
  • Applied Spatial statistics with R: 13/04/2016 & 14/04/2016 (new)

Programming courses in cooperation with LStat:

  • Advanced R programming topics: 17/02/2016 & 18/02/2016
    which is a course containing common data manipulation for R programmers, reporting with R, creating R packages and repositories

1-week bootcamp on using R with Oracle R Enterprise, in cooperation with Tripwire Solutions. This includes:

  • R for starters: 08-12/06/2015
  • Common data manipulation for R programmers: 08-12/06/2015
  • ROracle and Oracle R Enterprise (ORE) - transparancy layer: 08-12/06/2015
  • Oracle R Enterprise - advanced data manipulation: 08-12/06/2015
  • Data mining models inside Oracle R Enterprise (ORE) and Oracle Data Mining (ODM): 08-12/06/2015

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Make sure you register early for the Statistical courses offered jointly with LStat.
For the previous years the room on machine learning and advanced r programming was overbooked.
If there is a lot of interest in certain courses, an extra session can be set up.

Interested?, get into contact.