This module covers some aspects of data science and its interesting applications. It is a key module for understanding how data influences various fields in computer science and the importance of analytics in research – especially toward conducting better, impactful experiments. Data science is a broad field, and core concepts are thus covered concisely in a practical way.

Topics covered include:

• Introduction
• Data visualization
• Communication and synchronization
• Experimental basics
• Data analytics and practical statistics
• Data collection and management
• Project applications and metrics

Prerequisites: Enthusiasm and coding

Last Modified: Wed, 26 Jul 2023 15:11:39 SAST