Stats Central - Online Short Course: Intro to Python for Data Science, May 26 and 27



Note: The course should be attended remotely, and will be delivered using online collaborative teaching tools, as a mix of live video-assisted lectures and computer-based tutorials, with a chat session and multiple support staff to answer questions.

Course Overview

Python is a widely used programming language to manipulate, analyze, and visualize data. It is one of the most popular languages for Data Science, especially when dealing with complex, uncurated or text datasets.

This course assumes that you have never used Python before, but you have some basic programming knowledge. You will learn how to obtain and install Python, which is open-source software, and Jupyter Notebook, which is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. 

This one-day introduction to Python will cover some useful features of Python for data science. It will discuss various online resources available to further develop your data science skills using Python. The course is self-paced and focussed on developing practical skills.

Course Outline

This course will cover topics including:

· Python overview
· Jupyter Notebook
· Basic Python programming
· Typical process of data science
· Techniques to manipulate and analyze datasets
· Result visualization
· Selected statistical analysis and/or machine learning examples

Presenter and Expertise

A/Professor Raymond Wong (Stats Central and UNSW School of Computer Science and Engineering)

Course Requirement: You will need a computer with access to the course.

Duration: 10.00 am to 1.00 pm - each day

Location: Online
Online Course Fees (heavily discounted rates with 50% off standard fees)
UNSW students: $62.50
UNSW staff: $125
External Student: $225
External: $300

You will receive a certificate of completion for the course.