Thursday, 23 March, 2017 | 17:00 | Economics Discovery Hub

Introducing IBM Data Science Experience Platform

Time: 17:00 – 18:00
Date: Thursday, 23 March 2017

Workshop information:

IBM Data Science Experience is an environment that brings together everything that a Data Scientist needs. It includes the most popular open source tools, such as R and Python, and IBM unique value add functionalities with community and social features. The whole platform is for free for academic purposes.

Goal of the workshop:

After this workshop, students should understand the advantages of using analytical platform with community and social features. Students can use Data Science Experience when collaboratively working on analytics tasks.

Workshop outline:

1.       How to get and use IBM Data Science Experience

2.       Introduction to Jupyter notebooks

3.       Selected machine learning use cases

About the facilitator:

Michal Polena works as Presale in Analytics at IBM. Michal completed his Master’s degree in Econometrics and Quantitative Economics at Friedrich Schiller University Jena, Germany and at the Institute of Economic Studies at Charles University in Prague. 

Places for this workshop are limited, please register by completing our registration form now.