Python Programming Crash Course
11

January 11 – January 18
2 Sessions

GA Melbourne

12A, 45 William Street
Melbourne, Australia 3000
$450 AUD
Regular Ticket
$450 AUD
Total

Questions? Read our FAQs

Python Programming Crash Course | January 11

Alistair Walsh Photo


PhD Candidate, The Melbourne Brain Centre

11

January 11 – January 18
2 Sessions

GA Melbourne

12A, 45 William Street
Melbourne, Australia 3000
$450 AUD
Regular Ticket
$450 AUD
Total

Questions? Read our FAQs

About This Workshop Series

Python is a versatile and widely-used programming language with many applications. This workshop series explores Python's place in the scientific ecosystem, and how the language, with several readily-available open-source libraries, can serve as a powerful tool for data analysis.

Designed as a stand-alone crash workshop to Python programming, this class is also a recommended refresher for participants planning to enrol in General Assembly's upcoming part-time and full-time Data Science courses. The workshop is hands-on and exercise based, so participants will get plenty of practice.

Lunch provided, including vegetarian options.

Note: You will be given homework tasks to complete between the two sessions to ensure the best learning outcomes for this program.

A laptop is required for this workshop.

Schedule

Jan 11
Saturday, 11 January 10 am – 4 pm AEDT Python Programming for Beginners
  • Configuration - Software installation and setup
  • Terminal 101 - What it all means and what you can do with it
  • Intro to Python - Get familiar with libraries, programming paradigms, basic functions and more
Jan 18
Saturday, 18 January 10 am – 4 pm AEDT Intermediate Python Programming
  • Review Homework
  • Jupyter Markdown Basics
  • Intro to Git and Github
  • Intermediate Python - More functions, databases, data science, machine learning and more

Takeaways

  • Ability to write and run Python scripts
  • Ability to use Python for basic data analysis tasks (data cleaning and reformatting, exploration, analysis)
  • Understanding of Python’s role as a tool in the backend and analysis toolkits
  • Understanding of the possibilities opened up through a better understanding of Python

Preparation

General technical savvy, and comfort with computers.

Some prior experience with use of computers for analysis or repetitive tasks would be helpful.

Please install Anaconda for Python 3.7, which is a free distribution of python that includes libraries of open source python tools. (www.anaconda.com/download/#macos).

A laptop is required for this workshop.

About the Instructor

Alistair Walsh Photo

PhD Candidate,
The Melbourne Brain Centre

Alistair Walsh is a PhD candidate at the Melbourne Brain Centre. His thesis is in the use of Machine Learning and Artificial Intelligence in predicting recovery trajectories following stroke. He has previously worked for the Australian Defence Force's Science and Technology Organisation, developing Physiological Measures of Cognitive Load.

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

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