Data Visualization

Adapt to a world of digitalization and get ready to become a successful player in the new engineering game

Understand and build beautiful and advanced plots with Matplotlib and Python

Get to grips with Kibana and its advanced functions to create interactive visualizations and dashboards.

Create and animate stunning 3D browser based graphics with Three.js JavaScript library

Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.js data visualization library.

A quick start guide to visualize your Elasticsearch data

Progressively explore UI development with Shiny via practical examples

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

The goal of this course is to learn how to use Python and Spark to ingest, process, and analyze large volumes of data with different structures to generate insights and useful metrics from the data, walking through real-life examples and use cases.

Learn how to use data visualization techniques to explore and understand data, and then communicate insights in powerful ways.

Develop informative and aesthetic visualizations that enable effective data analysis in less time