Available in 2024
Course code

STAT6001

Units

10 units

Level

6000 level

Course handbook

Description

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.


Availability2024 Course Timetables

Online

  • Semester 1 - 2024

Learning outcomes

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

1. Implement data checking, wrangling, tidying, and basic management methods

2. Apply exploratory techniques for describing underlying patterns

3. Identify and avoid common flaws in data presentation methods

4. Communicate and report upon data effectively

5. Analyse, visualise, and report on data using a specific programming language

6. Recognize how data wrangling is implemented in real-life applications


Content

The course will include the following topics:

  • Presentation and interpretation of data
  • Processes for data checking, cleaning, filtering, and dealing with errors
  • Understanding types of data
  • Exploratory data techniques
  • Introduction to data modelling and analysis
  • Presenting data using a specific programming language
  • Visualising data using a specific programming language

Assumed knowledge

Familiarity with a least one (any) programming language


Assessment items

Quiz: Online Quizzes

Written Assignment: Written Assignments


Contact hours

Semester 1 - 2024 - Online

Self-Directed Learning-1
  • Online 10 hour(s) per week(s) for 13 week(s) starting in week 1
  • There are opportunities for students to get guidance from teaching staff during common consultation hours

Course outline