"Give a man a fish, he eats for a day; Teach the man to fish, he eats for a lifetime."
"Give a man a fish, he eats for a day; Teach the man to fish, he eats for a lifetime."
Practical Data Science with Python
Level: Postgraduate; Undergraduate
The course gives you a set of practical skills for handling data that comes in a variety of formats and sizes, such as numeric and text data. These skills cover the data analysis lifecycle from initial access and acquisition, modeling, transformation, integration, querying, application of statistical learning and data mining methods, and presentation of results. This includes data wrangling, the process of converting raw data into a more useful form that can be subsequently analysed. The course is hands-on, using Python.
The AI Professional
Level: Postgraduate
This course will mainly introduce concepts related to legal, ethical, privacy, governance issues for data collections; describe techniques for effectively managing such issues; provide you with techniques for effective communication and other considerations required of the AI practitioner in a professional organisation.
The Data Science Professional
Level: Postgraduate; Undergraduate
This course will mainly introduce concepts related to legal, ethical, privacy, governance issues for data collections; describe techniques for effectively managing such issues; provide you with techniques for effective communication and other considerations required of the Data Scientist in a professional organisation.
Professional Research and Communication (2021-2022)
Level: Postgraduate
This course provides students with the skills for undertaking IT research in academic and organisational contexts. Students will investigate communication theories and apply these in a range of organisational situations. Students will practise and refine their English writing skills, and develop a proposal for an organisational IT research project. The emphasis will be evaluating existing literature related to the organisational IT project, understanding various approaches to solving the problem, writing up, and delivery of a presentation on the organisational IT project.
Practical Data Science with Python: Lectorial/Lecture
The AI Professional: Lectorial/Lecture
The Data Science Professional: Lectorial/Lecture
Professional Research and Communication: Lecturer, Lab Instructor, and Partner Moderator
Statistical Methods: Tutorial, Lab Instructor
Masters Project: Project supervisor