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Introduction to Data-Analysis with Pandas

Description

Pandas is the Swiss-Multipurpose Knife for Data Analysis in Python. With Pandas dealing with data-analysis is easy and simple but there are some things you need to get your head around first as Data-Frames and Data-Series. The tutorial provides a compact introduction to Pandas for beginners for I/O, data visualisation, statistical data analysis and aggregation within Jupiter notebooks.

Abstract

Pandas is the Swiss-Multipurpose Knife for Data Analysis in Python. With Pandas dealing with data-analysis is easy and simple but there are some things you need to get your head around first as Data-Frames and Data-Series.

The tutorial provides a compact introduction to Pandas for beginners:

  • reading and writing data across multiple formats (CSV, Excel, JSON, SQL, HTML,…)
  • data visualisation
  • statistical data analysis and aggregation.
  • work with built-in data visualisation
  • inner-mechanics of Pandas: Data-Frames, Data-Series & Numpy.
  • working and making the most of indexes.
  • how to mangle, reshape and pivot

The tutorial will be provided as Jupiter notebooks.

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