Make the [R] Kenntnis-Tage 2017 your stage

March 23, 2017

(This article was first published on eoda english R news, and kindly contributed to R-bloggers)

At the [R] Kenntnis-Tage 2017 on November 8 and 9, 2017 you will get the chance to benefit not only from the exchange about the programming language R in a business context and practical tutorials but also from the audience: use the [R] Kenntnis-Tage 2017 as your platform and hand in your topic for the call of papers.

[R] Kenntnis-Tage 2017: Call for Papers
[R] Kenntnis-Tage 2017: Call for Papers

The topics can be as diverse as the event itself: Whether you share your data science use case with the participants, tell them your personal lessons learned with R in the business environment or show how your company uses data science and R. As a speaker at the [R] Kenntnis-Tage 2017, you will get free admission to the event.

Companies present themselves as big data pioneers

At last year’s event, many speakers already took their chance: Julia Flad from Trumpf Laser talked about the application possibilities of data science in the industry and shared her experiences with the participants. In his talk “Working efficiently with R – faster to the data product” Julian Gimbel from Lufthansa Industry Solutions gave a vivid example for working with the open source programming language.

Take your chance to become part of the [R] Kenntnis-Tage 2017 and hand in your topic related to data science or R. For more information, e.g. on the length of the presentation or the choice of topic, visit our website.

You don’t want to give a talk but still want to participate? When you register until May 5 you can profit from our early bird tickets. Data science goes professional – join in.

To leave a comment for the author, please follow the link and comment on their blog: eoda english R news. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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