Course Title: Data Analytics
Part A: Course Overview
Course Title: Data Analytics
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
ISYS3452 |
City Campus |
Preparatory |
TRN RMIT Training |
Face-to-Face |
Term1 2023, Term2 2023, Term1 2024 |
ISYS3453 |
RMIT University Vietnam |
Preparatory |
TRN RMIT Training |
Face-to-Face |
Viet1 2023, Viet2 2023, Viet1 2024 |
ISYS3454 |
RMIT Vietnam Hanoi Campus |
Preparatory |
TRN RMIT Training |
Face-to-Face |
Viet1 2023, Viet2 2023, Viet1 2024 |
Flexible Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
ISYS3455 |
Sri Lanka International College of Business & Technology |
Preparatory |
TRN RMIT Training |
Face-to-Face |
OFFJan2024 (FSL1) |
Course Coordinator: Jo Bradley
Course Coordinator Phone: +61 3 9925 6070
Course Coordinator Email: rmit.training.fs.team.leaders@rmit.edu.au
Course Coordinator Location: Level 5, B108
Course Coordinator Availability: Monday - Friday, 9AM - 5PM
Pre-requisite Courses and Assumed Knowledge and Capabilities
None.
Course Description
Today, businesses and organisations rely on information curated from a large range of data sources. In this course, students are introduced to methods, techniques and tools which convert and sort data into meaningful visualisations. Given specific data sets, students will organise, synthesise and analyse data, test the validity of the information produced, whilst respecting the legal and ethical considerations in data collection, storage and communication. Students will produce charts, graphs and infographics which best represent the patterns, trends and relationships between data sets and generate a report which meets the needs of an intended audience.
Objectives/Learning Outcomes/Capability Development
See Learning Outcomes.
Program Learning Outcomes:
- Apply the rules of, and expectations for, academic study and assume responsibility for your own actions to work effectively as an individual and/or as a member of a group;
- Develop and express ideas through independent reading, the creation of images, and the collection and interpretation of data and information;
- Communicate ideas with clarity, logic, and originality in both spoken and written English;
- Construct coherent arguments, narratives or justifications of issues, problems or technical processes when undertaking analytical, practical or creative tasks; and
- Use a range of contemporary digital and learning technologies, tools and methods common to the discipline.
Course Learning Outcomes:
- Investigate different data types to guide data storage and database design.
- Identify and collect data from a range of sources, specific for an intended project, purpose and audience.
- Clean and analyse data in line with specific requirements using spreadsheets.
- Use data visualisation software tools to present data trends and information providing insights for an audience.
Overview of Learning Activities
This course includes a blend of didactic, active, and collaborative learning activities designed to meet the needs of international students. The course encourages the process of inquiry, application and reflection through student centred learning and teaching activities including practical work in studio environments and laboratories . In doing so, there will be a focus on the development of critical and analytical thinking skills that promote problem solving, independent research skills and group work. Students will develop their technology skills through engagement in formative and summative assessments. The course will maximise the use of the learning management system by incorporating flipped and blended methodologies. This may be complemented by guest lectures, excursions and speakers with discipline specific work life expertise to further connect content to the professional world and generate opportunities for reflective practice.
Overview of Learning Resources
Various learning resources are available through RMIT’s learning management system, Canvas. In addition to assessment details and a study schedule, you will also be provided with links to relevant course information, class activities and communication tools.
Other learning resources are also available online through RMIT Library. Visit the RMIT library website for further details. Academic and learning support is provided through Study Success at RMIT Training. The Foundation Studies home group program will also provide support, navigating university systems, advice on living and studying in Melbourne as well as explaining RMIT university policy and procedures.
Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.
Overview of Assessment
| Assessment | Weighting |
| Application Tasks - Database | 40% |
| Application Task - Spreadsheets | 40% |
| Structured Tasks | 20% |