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Hands-on Training of Data Mining Through Visual Programming and Interactive Data Analysis

Blaz Zupan University of Ljubljana, Slovenia

Introduction to Data Mining Class Baylor College of Medicine, Houston, September 2016

Introduction to Data Mining @ Mol Life of Stem Cells 2016 Ljubljana, September 2016

Data ScienceLinear algebra

Probability

Statistics

Mathematical optimization

Data representation

High performance computing

Scripting languages

Data visualization

Data Science for Data Owners

Intuition

No fuss with math or programming

Accessible & easy to use

Visualizations

Explorative interfaces

The Challenge

Consider data owners with no previous training or math, statistics or computer science.

Can we train them to reconnect with their data?

Can we do it in a single day?

Even with big data?

Interaction

Experimentation

On-The-Fly Data Creation

Do Some Crazy Stuff

ConclusionCan we train data owners to use data science?Yes.

Can we do it in two days?Most likely.

What is required?A good explorative analysis tool. And a good teacher.

Will data owners then become data scientists?No. Or, better, probably no.

Can this work on big data? Sure. No difference here.

How about deep learning and stuff? Embedding is low hanging fruit. Start here.

Thanks toGad Shaulsky Adam Kuspa Rafael Rosengarten

Funding ARRS

EU Comission NIH

Fulbright

Boro Nikić Marko Limbek

Janez Demšar Anže Starič

Aleš Erjavec Ajda Pretnar Tomaž Curk

Marko Toplak Tomaž Hočevar

Lan Žagar Vesna Tanko Jure Žbontar

Marinka Žitnik Martin Stražar Andrej Čopar