Data and its analysis and modelling underpin all aspects of work and society in the 21st century. This unit provides students with a thorough study exploratory data analysis and visualisation techniques. Exploratory Data Analysis is an approach to data analysis that employs a variety of techniques, mostly graphical. The main role of this approach is to open-mindedly explore the data. Visualisation enables the data to reveal its structural secrets and provide new insight into the data. Exploratory Data Analysis allows the data scientist to discover patterns, to spot anomalies, to test hypothesis and to check assumptions with the help of summary statistics and graphical representations. This unit will provide hands-on experience in data visualisation and summary statistics using real-world data examples.
This unit may be cotaught with 11517 Exploratory Data Analysis and Visualisation G.

Learning outcomes

After successful completion of this unit, students will be able to:
1. Detect missing values, outliers and other abnormal data prior to exploratory data analysis;
2. Identify the hidden underlying structures and patterns of the variables within the data;
3. Examine ideas and methods used in exploratory data analysis for real world applications; and
4. Demonstrate competent skills in using data visualisation techniques for analysis and communication of findings and results, along with statistical reporting.

Graduate attributes

1. 黑料吃瓜网 graduates are professional - communicate effectively
1. 黑料吃瓜网 graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. 黑料吃瓜网 graduates are professional - employ up-to-date and relevant knowledge and skills
1. 黑料吃瓜网 graduates are professional - take pride in their professional and personal integrity
1. 黑料吃瓜网 graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. 黑料吃瓜网 graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. 黑料吃瓜网 graduates are global citizens - make creative use of technology in their learning and professional lives
3. 黑料吃瓜网 graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. 黑料吃瓜网 graduates are lifelong learners - evaluate and adopt new technology

Prerequisites

Must have passed 24 credit points.

Corequisites

None.

Incompatible units

11517 Exploratory Data Analysis and Visualisation G

Equivalent units

None.

Assumed knowledge

Working knowledge of discrete mathematics, algebra and numerical analysis.