Search

link to homepage

Institute for Advanced Simulation (IAS)

Navigation and service


Training course "Data analysis and data mining with Python"

(Course no. 83/2014 in the training programme of Forschungszentrum Jülich)

begin
10.Nov.2014 09:00
end
12.Nov.2014 16:30
venue
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021
Target audience:
Scientists who wnat to use Python for data analysis
Contents:

Pandas, matplotlib, and scikit-learn make Python a powerful tool for data analysis, data mining, and visualization. All of these packages and many more can be combined with IPython to provide an interactive extensible environment.

In this course, we will explore matplotlib for visualization, pandas for time series analysis, and scikit-learn for data mining. We will use IPython to show how these and other tools can be used to facilitate interactive data analysis and exploration.

Day 1: Basic data analysis and visualization

  • Introduction to IPython for interactive data analysis.
  • pandas
  • NumPy
  • matplotlib

Day 2: Advanced data analysis visualization

  • pandas
  • Statsmodels
  • Mayavi2

Day 3: Advanced topics

  • Portable data formats
  • scikit-learn
  • PyMAFIA

This course is aimed at scientists who wish to explore the productivity gains made possible by Python for data analysis.

Prerequisites:
Basic Experience with Python such as provided by the course Intriduction to Python is assumed and required for the hands-on sessions.
Language:
This course is given in English.
Duration:
3 days
Date:
10-12 November 2014, 9:00 - 16:30
Venue:
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021
Number of participants:
minimum 5
Instructors:
Dr. Jan Meinke, Dr. Olav Zimmermann, JSC
Contact:
Photo Dr. Jan Meinke
Dr. Jan Meinke
Phone: +49 2461 61-2315
email: j.meinke@fz-juelich.de
Registration:
Please register with Dr. Jan Meinke
until 31 October 2014.



Servicemeu

Homepage