Getting Started with Python for Data Scientists
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.
Praktische info:
Inschrijven?
- Voorwaarden: Knowledge of basic statistical concepts and experience with other programming languages are considered advantages, but not required for learning the Python language.
- Prijs: €450-€1000
Georganiseerd door:
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.
Lesgever/spreker
Koen Plevoets
Koen Plevoets is the coordinator of the Master in Statistical Data Analysis and a research consultant at the Department of Translation, Interpreting and Communication, both at Ghent University. His research focusses on the cognitive load of interpreters. He obtained his PhD in linguistics in 2008 and he has specialized master’s degrees in Artificial Intelligence and in Statistics. He has over 15 years of experience in categorical data analysis, multivariate statistics and text mining. His interests are visualizations of complex data, for which he uses the open-source programming languages R and Python.
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