Statistics for Data Science

Course aim

To provide a solid foundation in statistical theory, and applications of statistical methods in solving complex problems.

Course content

- Exploratory Data Analysis, sampling, estimation, hypothesis testing.
- Statistical models: correlation analysis, linear regression, logistic regression.
- Experimental Design and hypothesis testing methods: ANOVA, chi-square test, non-parametric methods, and multivariate extensions.
- Introduction to machine learning.
- Using SAS to solve statistical problems.

Textbook(s)

Field, A, Miles, J 2010, Discovering Statistics using SAS, SAGE

Prerequisite(s)

Nil

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, MAWSON LAKES
Workshop (Face-to-face and/or virtual workshops, including small group work.)	2 hours x 13 weeks
Computer Practical	2 hours x 12 weeks
INTERNAL, CITY WEST
Workshop (Face-to-face and/or virtual workshops, including small group work.)	2 hours x 13 weeks
Computer Practical	2 hours x 12 weeks
EXTERNAL, MAWSON LAKES, ONLINE
External (On-line materials, on-line interactions with these material, weekly on-line computer practicals in a virtual machine environment, online interactions with the course coordinator and with other students, including through virtual workshops. )	N/A x N/A

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Case study, Examination, Quantitative exercise

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 1)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.