Courses & Units
Introduction to Data Science KIT102
Introduction
This unit will explain the relationship between data, information, and knowledge and introduce several different methods/tools for managing, storing, securing, modelling, visualising, and analysing data. This unit will provide an understanding of how data can be manipulated to meet the needs of users. Changing data into information can be accomplished with a range of tools, including Splunk, SQL, and Python. This unit introduces the techniques to enable the students to use these tools for managing data, visualising data, creating information, and allowing knowledge development. Overarching the whole unit is the importance of data security and how it can be achieved. Completing this unit will provide you with the opportunity to prepare for the Splunk Core Certified User certification exam. Students need to get permission from the unit coordinator to enrol in the online offering. This online offering is primarily for students enrolled in the Diploma of ICT Professional Practice (including the Undergraduate Certificate in ICT Professional Practice) or the Business Analytics major in the BBus who might need to complete the unit online. Online students will need to attend an online tutorial.
Summary
| Unit name | Introduction to Data Science |
|---|---|
| Unit code | KIT102 |
| Credit points | 12.5 |
| College/School | College of Sciences and Engineering School of Information and Communication Technology |
| Discipline | Information & Communication Technology |
| Coordinator | Doctor Sumbal Maqsood |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania and Third Party(ies): ECA |
| Level | Introductory |
Availability
This unit is currently unavailable.
Note
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* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Securely store, convert and query data, information, and knowledge
- Extract and analyse knowledge and information from data
- Apply ICT knowledge, skills, and tools to design and develop efficient solutions to data-based problems
Fee Information
The 2024 Commonwealth Supported Place (CSP) rates are still being finalised by the Government and we will update the domestic fee information as soon as we have more details.
Teaching
| Teaching Pattern | On-Campus enrolments in Hobart and Launceston: Lectures: 1hr/wk |
|---|---|
| Assessment | Data Analisys Assignment (20%)|Data Modelling Assignment (20%)|Data Mining Assignment (30%)|Weekly Tutorial Test (30%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
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