Getting started with Python for data scientists

Description

Python started off as a general-purpose programming language, but in the last decade it has become a popular environment for data science. The reason is that the community of Python users have recently created useful add-on packages which are suitable for data manipulation, preparation, visualization and analysis. This practical course introduces both base Python and the most important packages in a hands-on way with many exercises.

The contents of the course are:

• Introduction: Python and the Anaconda distribution
• Data types: numbers, strings, lists, tuples, sets and dictionaries
• Automation: control flow and self-defined functions
• Importing data and exporting results
• Managing data with NumPy and pandas
• Graphs with matplotlib and seaborn
• Statistical analysis with statsmodels

The objective of the course is that you are capable of doing data management, visualization and analysis in Python on your own.

Python is an open-source programming language which you can freely download (i.e. the Anaconda distribution). Python version 3 or higher is recommended.

Target audience

This course targets professionals and investigators from diverse areas with little to no Python-programming experience who wish to start using Python for their data manipulation, data exploration or statistical analysis.

Fees

The participation fee is 1000 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations.

• Industry, private sector, profession*: € 1000
• Non profit, government, higher education staff: € 750
• (Doctoral) students, unemployed: € 450

*If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the course fee is taken into account starting from the second enrolment.

Registration

More information and registration on our Beta-Academy website.