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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