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(Workshop #8) Data Analysis and Scientific Programming with Python



Data Analysis and Scientific Programming with Python


Workshop Details

Date: 9-11 December, 2021 (3-day workshop)

Time: T.B.A

Venue: Online via Zoom

Workshop Language: English

Instructors: Dr. Vahid Rostami


Day 1 (December 9, 2021)

9.00 – 10.30 (CET)        Algorithmic thinking and getting started with Python 

10.30 – 11.00 (CET)      Break

11.00 – 12.00 (CET)      Variables, expressions, and statements

12.00 – 13.00 (CET)      Lunch break

13.00 – 14.30 (CET)      Data Types, loops 

14.30 (CET)                  End of the day


Day 2 (December 10, 2021)

9.00 – 10.30   (CET)       Functions and files

10.30 – 11.00 (CET)      Break

11.00 – 12.00 (CET)      Numerical calculation

12.00 – 13.00 (CET)      Lunch break

13.00 – 14.30 (CET)      Data visualization

14.30 (CET)                  End of the day


Day 3 (December 11, 2021)

9.00 – 10.30 (CET)        Data Analysis I

10.30 – 11.00 (CET)      Break

11.00 – 12.30 (CET)      Data Analysis II

12.30 – 13.30 (CET)      Lunch break

13.30 – 14.30 (CET)      Data Analysis III

14.30 (CET)                  End of the day

Course description

Goal of this workshop is to bridge the gap between scientific programming in Python and data analysis. To pursue this goal this workshop will start with basics of computer science, algorithmic thinking and necessary skills to start with Python. Then the workshop will focus on hands-on exercises with important Python packages for data analysis such as NumPy, SciPy, etc.  The workshop will also cover the basic techniques of data visualization and communicating results effectively. The workshop is committed to ensure that the participants are successful even if they have no previous programming experience.


Python Programming, Scientific Computing, Data Analysis

Target group

Master students

Graduates (not doctoral candidates), interested non-scientists

Doctoral candidates

Postdoctoral researchers

Experienced researchers

Learning objectives

After completion of this workshop, participants will be equipped with (1) necessary skills of scientific programming with PYTHON, and (2) hands-on experience in the statistical analysis of structured datasets.