Vienna Data Science Group - Knowledgefeed vol. 15

Dear Community,

we are proudly announcing our 15th. Knowledegfeed. For those of you joining us for the first time, a short description below.

During these sessions we are inviting specialists presenting their hands-on experience, current project or simply ideas regarding topics related to our field of interest (the reason for this rather wide description is based on the wide scope of data science (https://en.wikipedia.org/wiki/Data_science) itself... ;-)). Furthermore this gives you the opportunity to ask our lecturer of the evening questions, discuss your ideas and of course enjoy a beer in company of some interesting folks!

In addition please do not hesitate to present your own projects, ideas or thoughts...we are more than gladly sharing the stage with you! Please refer to our last blog-post (http://viennadatasciencegroup.at/2016/09/06/power-to-the-people/) / Discussion entry (https://www.meetup.com/Vienna-Data-Science-Group-Meetup/messages/boards/thread/50113851) for further details.

This evening we will have following talks:

Title: A quick glance at Python's Scientific Stack

Description: An overview of the Scientific Computing ecosystem in Python is given.In particular we address the following questions:

• Why consider Python for scientific computing?

• How is the scientific stack structured?

• What kind of tools are available?

Showcases target different areas and links will be provided along the way. By the end of the talk you will have a basic understanding of what can be done with Python and know how to get started.

Duration: about 30 min

Powered by: Claus Aichinger, Data Scientist and Python enthusiast who enjoys to contribute to and participate in the community. Currently a Research Engineer at the Austrian Institute of Technology (AIT) (http://www.ait.ac.at/), working on data analysis and statistical modeling tasks in national and international research and customer projects. Studied Mathematics and Physics at the University of Vienna (https://www.univie.ac.at/). Freelancer

Title: The Pillars of Data Science fetching and transforming data

Description:In contrast to what "the sexiest job of the 21st century" would suggest, a Data Scientist's most time consuming task is fetching and transforming data, so that it can serve as input for any subsequent modelling. Thus, having the right tools at one's disposal will free up significant resources.

This talk aims to introduce beginner and intermediate R users to the most useful packages, resources and functionalities that might improve one's efficiency in conquering the boring tasks. We will have a look at packages such as magrittr, dplyr and others.Also, some of R's quirks and oddities will be highlighted, which partially arise as a consequence of the huge size of the community and the plethora of available packages.

Duration: about 30 min

Powered by:Maks Chudzicki (https://www.linkedin.com/in/maksymilian-chudzicki-912a49131?authType=NAME_SEARCH&authToken=4-Ni&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A543051230%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1480093789206%2Ctas%3AMaks), a Data Scientist working for a large steel trading company who works with R on a daily basis and is always in the lookout for ways to make his work more efficient. He has a background in natural sciences and graduated from the TU Vienna (https://www.tuwien.ac.at/) where he was working on Monte Carlo simulations.

Thanks a lot in advance and see you at the Knowledgefeed!

Stay tuned and visit us also on our homepage;

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter:

https://twitter.com/viennadsg