Data processing in Python


Data processing in Python

Training description


The training covers a broad range of topics on importing data and effective data manipulation in Python.

Duration: 2 days 8 hours each (including an hour lunch break)

Requirements: knowledge of Python programming language at an intermediate level which can be acquired during our training “Introduction to Python”.

Training agenda

Part one: Let’s get it started!

  • Importing data
  • Built-in data types
  • Chaining method

Part two: The basics of the basics – Numpy

  • Ndarray
  • Statistical functions
  • Operations on tables

Part three: Let’s dig deeper – Pandas

  • Series vs. Data.Frame
  • Grouping data
  • Aggregating data
  • Manipulating data
  • Indexing mechanism
  • Text data & time series manipulation

Part four: Shape up

  • Modifying the shape of data  – melt, concat, pivot, merge.

Upcoming open trainings

Currently, no open training covering the given issue is planned. We encourage you to contact us regarding the closed training.

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