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Python for data analytics


Python is a language with an extremely broad spectrum of uses: from web design to system administration automation. One of the fields in which Python's popularity grew most spectacularly in recent years, is that of data analysis. Python's general strengths as a programming language, combined with a number of specialised libraries, make it a very valuable tool for building applications for data analysis. The fact that Python programs can easily be integrated with other programs, provides an extra advantage.

In this course we explore the possibilities of Python in the field of data analysis and visualisation, including libraries such as NumPy and pandas.

Main topics

  • Reading and writing data
  • Text files
  • HTML and XML
  • JSON
  • Microsoft Excel
  • Data Wrangling
  • Merging and Concatenating data
  • Transforming data
  • Pivoting
  • Data aggregation and Grouping
  • Visualisation
  • NumPy
  • pandas
  • Other useful packages

Intended for

This training is aimed at whoever wants to start practising data analysis: developers, data architects, marketeers, and anyone who needs to manipulate, visualize, or summarize their corporate data.


Basic Python and statistics knowledge is a prerequisite for this course (see courses Python fundamentals and Statistics fundamentals).

Training method

Classroom training with extensive practical exercises.

Course leader

Arnout Veugelen.


2 days.


You can enrol by clicking on a date
datedur.lang.  location  price
02 Nov2NWoerden  (NL)950 EUR  (exempt from VAT) 
23 Nov2?Leuven  (BE)950 EUR  (excl. VAT) 


I would have appreciated something more "genomics oriented" with actual analysis examples - pipeline drafts (for example RNA-seq, WGS or WEX data analysis) (, )
Nice! (, )
Very good, just need a bit more exercises with the corrections (during class) (, )
A lot of useful insights provided, included material for self learning & practice. I am satisfied with this course and I can recommend it again in the future. Thank you! (, )