Exploratory Data Analysis and Visualisation G (11517.1)
Band 2 2013-2020 (Expires 31 Dec 2020) Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021)
|Faculty:||Faculty of Science and Technology|
|Discipline:||Academic Program Area - Technology|
UC - Canberra, Bruce
Year Teaching Period Convener Mode of Delivery 2021 Semester 1 DR Shuangzhe LIU (Ph: +61 2 62012513 ) ON-CAMPUS
Possible changes to your unit's learning activities and assessment items
As a result of the Australian Government's and or the ACT Government’s directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, you may find that learning activities and/or assessment items in some units you are studying have changed. These changes will not be updated in the published Unit Outline but will be communicated to you via your unit’s UCLearn(Canvas) teaching site. The new learning activities and/or assessment items will continue to meet the unit's learning outcomes, as described in the Unit Outline.
New learning activities and/or assessment items are available on your unit's UCLearn(Canvas) teaching site. Please contact your Unit Convener with any questions.
To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.
- Semester 1, 2021, ON-CAMPUS, BRUCE (200217) - View
- Semester 1, 2020, ON-CAMPUS, BRUCE (198591) - View
If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.
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 will be co-taught with 11374 Exploratory Data Analysis and Visualisation.
After successful completion of this unit, students will be able to:
1. Choose and apply the most suitable techniques for exploratory data analysis;
2. Map out the hidden underlying structure of the data;
3. Detect anomalies and missing data; and
4. Demonstrate strong skills in using visualisation techniques for analysis and communication.
Four hours of problem-based learning activities, interactive workshops and practical work in laboratory classes on campus per week.
Working knowledge of discrete mathematics, algebra and numerical analysis.
11374 Exploratory Data Analysis and Visualisation