Data Science for Analytics (Dr Dane Brown)
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