Courses & Units

Introduction to Data Science XPD125

Hobart

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
Provost
Discipline University Pathways
Coordinator Geela Venise (Geela) Chee
Available as student elective? No
Delivered By Third Party (UP Education)
Level Introductory

Availability

Location Study period Attendance options Available to
Hobart Semester 2 On-Campus International
Hobart Summer school (early) 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
Semester 2 11/7/2022 9/8/2022 29/8/2022 16/10/2022
Summer school (early) 8/11/2021 1/1/2022 2/1/2022 20/2/2022

* 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 (see withdrawal dates explained for more information).

Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

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.
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
029999 $1,002.00 $1,002.00 not applicable $2,402.00

1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
3 Please refer here for eligibility for HECS-HELP
4 Please refer here for 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 this page to get an indicative course cost.

Requisites

Mutual Exclusions

You cannot enrol in this unit as well as the following:

KIT102

Teaching

AssessmentWeekly Tutorial Test (27%)|Examination (50%)|Data Modelling Assignment (23%)
TimetableView 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.

LinksBooktopia textbook finder

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