DATA422-26S2 (C) Semester Two 2026

Data Wrangling for Data Science

15 points

Details:
Start Date: Monday, 13 July 2026
End Date: Sunday, 8 November 2026
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 26 July 2026
  • Without academic penalty (including no fee refund): Sunday, 27 September 2026

Description

This course develop students skills in data cleaning and processing, data integration techniques and implementing data wrangling workflows for a real world datasets.

Prerequisites

Subject to approval of the Head of Department of Mathematics and Statistics.

Timetable 2026

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 09:00 - 10:00 E6 Lecture Theatre
13 Jul - 23 Aug
7 Sep - 18 Oct
Lecture B
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 E5 Lecture Theatre
13 Jul - 23 Aug
7 Sep - 18 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Monday 15:00 - 17:00 Rehua 008 Computer Lab
13 Jul - 23 Aug
7 Sep - 18 Oct
02 Wednesday 14:00 - 16:00 Rehua 008 Computer Lab
13 Jul - 23 Aug
7 Sep - 18 Oct
03 Friday 13:00 - 15:00 Ernest Rutherford 212 Computer Lab
13 Jul - 23 Aug
7 Sep - 18 Oct

Textbooks / Resources

Recommended Reading

Locke, Stephanie; Data manipulation in R ; [2 edition] ; Colour version; Locke Data, 2017.

Course links

Library portal

Indicative Fees

Domestic fee $1,247.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All DATA422 Occurrences

  • DATA422-26S2 (C) Semester Two 2026
  • DATA422-26S2 (D) Semester Two 2026 (Distance)
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