Data processing and visualization in Python

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Live (synchronous)

Venue Information

Country: Slovakia
Venue Details: Click here

Training Content and Scope

Scientific Domain
Level of Instruction
Sector of the Target Audience
Research and Academia
Public Sector
Other (general public...)
Language of Instruction

Other Information

Supporting Project(s)
Event/Course Description
  1. Basic NumPy package:

    • Installing the NumPy library

    • Creating NumPy arrays

    • Data types and operations with NumPy arrays

    • Indexing and searching NumPy arrays

    • Universal NumPy functions, etc.

  2. Data visualization:

    • Installing the data visualization library

    • Introduction to visualization in Matplotlib and Seaborn libraries

    • Data visualization on various examples in the libraries mentioned above

    • Customization of graph outputs according to our needs

  3. Data processing:

    • Installing and importing the Pandas library

    • Creating Pandas dataframes

    • Loading files (.txt, .xlsx, .csv)

    • Processing and analyzing data from files (.txt, .xlsx, .csv)

    • Data operations etc.