Python Programming 101
26

Thursday, 26 October

6 9 pm AEDT

GA Melbourne

12A, 45 William Street
Melbourne, Australia 3000
$70 AUD
Regular Ticket
$70 AUD
Total

Questions? Read our FAQs

Python Programming 101

Peter Goodin Photo


Lead Instructor, General Assembly

26

Thursday, 26 October

6 9 pm AEDT

GA Melbourne

12A, 45 William Street
Melbourne, Australia 3000
$70 AUD
Regular Ticket
$70 AUD
Total

Questions? Read our FAQs

About This Class

Unlock data-driven insights with code.

Explore the intersection of coding and data with General Assembly. During our Python-focused introductory workshop, you’ll learn to harness the power of an essential programming language for data scientists and use it to drive accurate business insights. Working with real-world examples, you’ll:

  • Touch on fundamental Python programming techniques and tools.
  • Discover the history of Python and how it compares to other programming languages.
  • Discuss its applications in data analysis and the types of problems it can solve.
  • See where Python programming fits into the data workflow.
  • Apply your new skills to solve a real-world problem with Python.

Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set with Python skills in our 10-week, part-time Data Science course

Prereqs & Preparation

1. Install Anaconda beforehand.

  • Tip: Scroll to your operating system version and click on the install button for Anaconda with Python 2.7.
  • Note: We'll be using Python version 2.7 in this workshop.

2. If you are using a PC, please install the git for windows terminal beforehand.

3. Additional Optional Preparation:

4. Technical Considerations:

  • For students on Windows, you’ll need Microsoft Windows 8/10 (32- or 64-bit). For those with Macs, you’ll need the Mac OS X 10.8.5 or higher, up to 10.11.4 (El Capitan).

About the Instructor

Peter Goodin Photo

Lead Instructor,
General Assembly

Peter's background is in psychology and cognitive sciences with a Ph.D in clinical neuroscience. Peter has worked on the forefront of neuroimaging research and has expertise in a wide range of data handling and analytics techniques.

In addition to instructing data science for GA Melbourne, Peter is also an honourary research fellow for the Florey Institute examining neural correlates of post-stroke recovery and is actively engaged in experimental design, data collection and analysis for several local and international studies.

Peter is interested in using technology and data science to help the recovery process after brain damage. He also plays the guitar. Badly.

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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