Data Visualization with Python eLearning

Understand, explore, and effectively present data using the powerful data visualization techniques of Python.

What you will learn

• Uses of real data to explain key visualization tools and techniques
• Industry standard plotting libraries, such as Matplotlib and Seaborn
• Explains the hands-on approach and concepts with real-world examples

Hardware Requirements

For an optimal student experience, we recommend the following hardware configuration:

• Processor: Dual Core or better
• Memory: 40GB RAM
• Storage: 10 GB available space
• An Internet connection

Software Requirements

You’ll also need the following software installed in advance:

• Any of the following operating systems:
  • Windows 7 SP1 32/64-bit,
  • Windows 8.1 32/64-bit or Windows 10 32/64-bit
  • Ubuntu 14.04 or later
  • macOS Sierra or later
• Browser: Google Chrome or Mozilla Firefox
• Conda
• Jupyterlab