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R for data analytics

Data analytics for business intelligence starts with collecting, storing and cleverly summarizing enterprise data, which nowadays is generated by a diversity of data sources (click streams, social media, relational data, sensor data, ...)

A popular tool for this kind of analytics is R. Its popularity is partly explained because it's free open source software, but more importantly because an increasing number of add-on packages are made available which focus on particular use cases in this broad BI and Big Data universe.

This course will give you hands-on practice with R, both as a data analytics and graphical tool, and as a programming and scripting environment where you can let the system give you any possible insight into your data that you may want.

Schedule

datedur.lang.  location  price
07 Mar3?Leuven  (BE)1425 EUR  (excl. VAT) 
16 May3NWoerden  (NL)1425 EUR  (exempt from VAT) 
25 Jun3?Leuven  (BE)1425 EUR  (excl. VAT) 
SESSION INFO AND ENROLMENT

Intended for

Whoever wants to start practising data analysis in a "big data" context: developers, data architects, marketeers, and anyone who needs to manipulate, visualize, or summarize their corporate data. This course is also a first introduction to the R programming language, so anyone who wants to start using R or one of its many packages is welcome.

Background

This is a "beginners" course, so no technical background is required. Familiarity with the concepts of data stores and "big data" is of course advisable (see e.g. Big data concepts), as well as having some notions of statistics (cf Statistics fundamentals). Additionally, we expect that you are familiar with the concepts of a programming language (see e.g. Programming fundamentals).

Main topics

Part I - R fundamentals

Part II -- Data analytics with R

Training method

Classroom instruction, focused on practical examples and supported by extensive exercises and individual practice.

Duration

3 days.

Course leader

Peter Vanroose.


SESSION INFO AND ENROLMENT