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Python for data analytics

Objectives

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.

Background

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.

Duration

2 days.

Schedule

Vous pouvez vous inscrire en cliquant sur une date
dateduréelang.  lieu  prix
29 May2ELeuven  (BE)950 EUR  (excl. TVA) 
19 Jun2NWoerden  (NL)950 EUR  (exempte de TVA)  garanti
02 Nov2NWoerden  (NL)950 EUR  (exempte de TVA) 
23 Nov2?Leuven  (BE)950 EUR  (excl. TVA)