Python Programming Crash Course

Sydney campuses

GA Sydney
The Podium Building, 1 Market St (Entry via Kent Street)
Sydney NSW 2000

Past Locations for this Workshop Series

Python Programming Crash Course

Sydney

Sydney campuses

GA Sydney
The Podium Building, 1 Market St (Entry via Kent Street)
Sydney NSW 2000

Past Locations for this Workshop Series

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 course to Python programming, this class is also a recommended refresher for students planning to enrol in General Assembly's upcoming Data Science immersive course. The course is hands-on and exercise based, so students will get plenty of practice.

Lunch provided, including vegetarian options. Please email any dietary requirements to studentservicessyd@generalassemb.ly at least 48 hours before class commences.

Good things come to those who learn - GA. Students who take this workshop and then subsequently enrol in GA's Data Science Immersive or part-time course will receive a tuition credit towards the course equal to what they paid for this workshop.

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

Prereqs & Preparation

General technical savvy, and comfort with computers Some prior experience with use of computers for analysis or repetitive tasks – such as Excel Installation of Anaconda for Python 3.6, which is a free distribution of python that includes libraries of open source python tools (http://continuum.io/downloads). Set-up an account on Kaggle.com

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