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Overview

This is an intermediate (Level 2) Information Systems (IS) course. It introduces students to important concepts, techniques, and technology solutions relevant to programming for data analytics. This encompasses both programming solutions for the purpose of conducting data analytics as well as programming supported by analytics systems (e.g. data-informed / data-driven … For more content click the Read More button below. In Module 1, students systematically study Python syntax. In Module 2, students learn how to analyse business data using Python. This module teaches from the basics of data analytics to exploring many different types of business data. Students learn how to prepare data for analytics, perform simple statistical analysis, create meaningful data visualisations, and predict future trends from data. In Module 3, the course introduces students to emerging technologies as well as the social, legal, and ethical issues relevant to the technologies discussed in this course. Throughout the course, students are introduced to a number of Python libraries for data analytics.

Conditions for Enrolment

Prerequisite: COMM1190 OR INFS1603 OR (COMM1822 or COMM2822)

Delivery

Multimodal - Standard (usually weekly or fortnightly)

In-person -

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)