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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 exploring, analysing, and visualising all sorts of data sources.

In this course we look at the possibilities of Python in the field of data analysis and visualisation, including popular libraries such as NumPy, Pandas and Matplotlib.

Schedule

dateduréelang.  lieu  prix
02 Nov2NWoerden  (NL)950 EUR  (exempte de TVA) 
23 Nov2?Leuven  (BE)950 EUR  (excl. TVA) 
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Intended for

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

Background

Basic Python knowledge is a prerequisite for this training, as well as some notions of statistics (see courses Python fundamentals and Statistics fundamentals).

Main topics

Training method

Classroom training with demos and practical exercises.

Duration

2 days.

Course leader

Arnout Veugelen.

Reviews

     
Zeer goede intro in dit onderwerp! (, )
     
I would have appreciated something more "genomics oriented" with actual analysis examples - pipeline drafts (for example RNA-seq, WGS or WEX data analysis) (, )
     
Goed, maar 2 dagen was eigenlijk te kort om het vakgebied Data Analytics goed tot haar recht te laten komen. (, )
     
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! (, )
     
goede cursus, zeer tevreden (, )
     
Nice! (, )

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