Courses & Units
Introduction to Data Science XPD125
Introduction
This unit will explain the relationship between data, information and knowledge and introduce a number of different methods/tools for managing, storing, securing, modelling, visualizing and analyzing. This unit will provide and 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 XML, SQL, spreadsheeting and data visualization. This unit introduces the techniques to enable the students to use these tools for managing data, creating information and allowing knowledge development. Overarching the whole unit is the importance of data security and how it can be achieved. This unit concludes by introducing the concepts behind managing big data in response to global trends of capturing all available data due to inexpensive storage.
Summary
| Unit name | Introduction to Data Science |
|---|---|
| Unit code | XPD125 |
| Credit points | 12.5 |
| College/School | Academic Division DVC - Education |
| Discipline | University Pathways |
| Coordinator | Miles Sun |
| Available as an elective? | No |
| Delivered By | Third Party(ies): UP Education |
| Level | Introductory |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | IPC Semester 1 | On-Campus | International | ||
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| IPC Semester 1 | 26/2/2024 | 19/3/2024 | 15/4/2024 | 31/5/2024 |
* 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
- Summarize and explore large data sets using appropriate numeric and graphical tools in order to communicate statistical concepts to both scientific and lay audiences.
- Recognize the key issues involved in designing a survey or experiment, and assess strengths and weaknesses in statistical arguments.
- Identify and apply appropriate statistical techniques to make inferences based on data.
- Perform common statistical analyses in a statistical computing package.
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 029999 | $1,118.00 | $1,118.00 | not applicable | $2,648.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
KIT102Teaching
| Assessment | Data Modelling Assignment (23%)|Weekly Tutorial Test (27%)|Examination (50%) |
|---|---|
| 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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