Available in 2022
Course code



10 units


6000 level

Course handbook


Extracting and communicating information from data lies at the heart of Statistics and Data Science. In practice, data isn't often in an immediately useable format, requiring management, manipulation and error-checking. Visualisation of data is an invaluable asset in error-checking as well as both finding and communicating key information. This course provides introductory methods for such data wrangling and visualisation of data.

Availability2022 Course Timetables


  • Semester 1 - 2022

Learning outcomes

On successful completion of the course students will be able to:

1. Implement data checking and management methods

2. Apply exploratory techniques for describing underlying patterns

3. Identify flaws in data presentation methods

4. Communicate and report upon data effectively


The course will include the following topics:

  • Processes for data checking
  • Dealing with errors
  • Understanding types of data
  • Exploratory data techniques
  • Presenting Data
  • Brainstorming hypotheses from exploration
  • Visualisation

Assessment items

Quiz: Online Quizzes

Written Assignment: Written Assignments

Contact hours


Integrated Learning Session

Online 3 hour(s) per Week for Full Term starting in week 1

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.