JCU Logo

James Cook University Subject Handbook - 2021

For subject information from 2025 and onwards, please visit the new JCU Course and Subject Handbook website.

MA5820 - Statistical Methods for Data Scientists

Credit points:03
Year:2021
Student Contribution Band:Band 1
Administered by:College of Science and Engineering

Subject Description

    Statistics is used in many disciplines. Applying statistical methods the right way can help data scientists make new discoveries and help managers make better decisions. Conversely, applying statistical methods inappropriately and misinterpretting results can lead to false discoveries and managers making poor and costly decisions. To avoid this, it is very important that students learn the best ways to present and analyse data. This subject will introduce students to practical applications and concepts involved in descriptive and inferential statistics, and linear modelling. Topics include methods of producing, exploring, displaying and summarising data, both of single and multiple variables, probability and sampling concepts, confidence intervals, hypothesis testing, correlation and regression. Emphasis will be placed on communicating findings from data investigations to a range of audiences. RStudio will be the computational tool of choice.

Learning Outcomes

  • demonstrate sound knowledge of the basic principles that underpin sample selection, experimental design, statistical theories, data visualisation and linear modelling
  • effectively integrate and execute statistical theories and processes in RStudio
  • retrieve, analyse, synthesise and evaluate outputs produced from RStudio
  • integrate statistical principles, methods, techniques and tools covered in this course to plan and execute a statistical analysis
  • evaluate, synthesise and communicate findings from statistical investigations in a form suitable for specialist and non-specialist audiences

Subject Assessment

  • Written > Test/Quiz 1 - (10%) - Individual
  • Written > Problem task - (40%) - Individual
  • Written > Project report - (50%) - Individual

Note that minor variations might occur due to the continuous subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.

Availabilities

JCU Online, Study Period 82, External

Census date:Thursday, 18 Mar 2021
Study Period Dates:Monday, 08 Mar 2021 to Saturday, 24 Apr 2021
Lecturer(s):
DR David Donald
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 65 Hours - Other - Online resources including readings, screencasts, embedded quizzing.
Method of delivery:Online - JCU
Restrictions:Enrolment is restricted.
Enrolment Restrictions:Students in KeyPath Courses

JCU Online, Study Period 86, External

Census date:Thursday, 04 Nov 2021
Study Period Dates:Monday, 25 Oct 2021 to Saturday, 11 Dec 2021
Coordinator(s):
DR David Donald
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 65 Hours - Other - Online resources including readings, screencasts, embedded quizzing.
Method of delivery:Online - JCU
Restrictions:Enrolment is restricted.
Enrolment Restrictions:Students in KeyPath Courses

Study Period 82, External

Census date:Thursday, 18 Mar 2021
Study Period Dates:Monday, 08 Mar 2021 to Saturday, 24 Apr 2021
Lecturer(s):
DR David Donald
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 65 Hours - Other - Online resources including readings, screencasts, embedded quizzing.
Method of delivery:WWW - LearnJCU
Restrictions:Enrolment is restricted.
Enrolment Restrictions:
Courses:
  • Master of Engineering (Professional)
  • Course 300104
  • Graduate Certificate of Data Science
  • Master of Data Science (Professional)

Study Period 86, External

Census date:Thursday, 04 Nov 2021
Study Period Dates:Monday, 25 Oct 2021 to Saturday, 11 Dec 2021
Coordinator(s):
DR David Donald
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 65 Hours - Other - Online resources including readings, screencasts, embedded quizzing.
Method of delivery:WWW - LearnJCU
Restrictions:Enrolment is restricted.
Enrolment Restrictions:
Courses:
  • Master of Engineering (Professional)
  • Course 300104
  • Graduate Certificate of Data Science
  • Master of Data Science (Professional)