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External event: Introduction to Python for Data Science

  • 1 Sep 2020
  • 10:00 AM (UTC+10:00)
  • 2 Sep 2020
  • 1:00 PM (UTC+10:00)
  • Online

Introduction to Python for Data Science

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 two half-days 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.

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

Course Requirements: You will need a computer.

Date:               Tuesday 1 & Wednesday 2 September, 2020 (two half-day sessions)

Duration:         10.00 am to 1.00 pm – Each day

Location:         Online

For further details and bookings:

https://www.eventbrite.com.au/e/online-short-course-introduction-to-python-for-data-science-tickets-112899814384

Stats Central provides study design and analysis support to all UNSW researchers, in collaborative and consultative roles, and conducts short courses and monthly seminars on topical issues. Please see below for our upcoming seminar and short courses. Please feel free to circulate this email to your colleagues, staff, researchers and students, who may be interested. Should you have any questions please don’t hesitate to contact us or visit our website statscentral.unsw.edu.au.

**Due to the COVID-19 situation, we are offering online course with 20% discounted rates.**

Note: The courses will be delivered remotely using online collaborative teaching tools, with a mix of live video-assisted lectures and computer-based tutorials. A continuous chat session will be available and there will be extra staff to answer questions during the course.


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