Course Details
Data Analysis
Course Code COMP517
EFTS 0.1250
Points 15.00
Level 5
Download Course Descriptor
Prescriptor
Data analysis is the process of inspecting, cleaning, transforming and modelling data with the goal of discovering useful information, deriving conclusions and supporting decision-making. Topics covered include basic data analysis techniques, use of computing tools for applying such techniques, and communicating results to non-experts through reports with the use of numerical and graphical data.
Resources
No Resource is available.
Qualifications
The course is available as part of the following qualifications.
Expand to see requisite details. Points
  AK3697   Bachelor of Computer and Information Sciences   (BCIS)
360.00
  ICE1   Individual Course Enrolment   (ICE)
0.00
  SABRD1   Study Abroad   (Study Abroad)
0.00
  INEXCH1   International Exchange (Inbound)   (INEXCH)
0.00
  AK3698   Graduate Diploma in Computer and Information Sciences   (GradDipCIS)
120.00
No requisite courses specified.
  AK3756   Graduate Certificate in Computer and Information Sciences   (GradCertCIS)
60.00
Timetable
2025, Semester 2 Standard
Class Stream Starting Ending Day Time Room
COMP517/W201  A  22-Jul-2025  21-Oct-2025  TUE  1:00 PM - 3:00 PM  WG403 
    22-Jul-2025  21-Oct-2025  TUE  4:00 PM - 6:00 PM  WS313-314 
COMP517/W202  A  22-Jul-2025  21-Oct-2025  TUE  1:00 PM - 3:00 PM  WG403 
    23-Jul-2025  22-Oct-2025  WED  8:00 AM - 10:00 AM  WS220 
COMP517/W203  A  22-Jul-2025  21-Oct-2025  TUE  1:00 PM - 3:00 PM  WG403 
    24-Jul-2025  23-Oct-2025  THU  10:00 AM - 12:00 PM  WS221 
COMP517/W204  A  22-Jul-2025  21-Oct-2025  TUE  1:00 PM - 3:00 PM  WG403 
    24-Jul-2025  23-Oct-2025  THU  12:00 PM - 2:00 PM  WS313-314 
COMP517/W205  A  22-Jul-2025  21-Oct-2025  TUE  1:00 PM - 3:00 PM  WG403 
    24-Jul-2025  23-Oct-2025  THU  2:00 PM - 4:00 PM  WS220 
COMP517/W250  A  22-Jul-2025  21-Oct-2025  TUE  1:00 PM - 3:00 PM  WG403 
    22-Jul-2025  21-Oct-2025  TUE  6:00 PM - 8:00 PM  WS313-314 
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Auckland University of Technology