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Python Programming Crash Course | Online | October 29

$289 USD each
Friday, 29 October -
Saturday, 6 November
7:30 pm – 1:30 am EDT
Online

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.

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

Please note:

This workshop is highly interactive with group activities and discussions throughout. To participate you will need to:

  • Have your camera turned on for the entire session
  • Have an accessible microphone
  • Be in a quiet, well-lit space with minimal distractions
  • Strong internet connection

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

Schedule

Oct
29
Python Programming Crash Course Part One
Friday   7:30 pm – 1:30 am EDT
  • 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
Nov
5
Python Programming Crash Course Part Two
Friday   7:30 pm – 1:30 am EDT
  • Review Homework
  • Jupyter Markdown Basics
  • Intro to Git and Github
  • Intermediate Python - More functions, databases, data science, machine learning and more

Preparation

General technical savvy, and comfort with computers. Some prior experience with use of computers for analysis or repetitive tasks would be helpful.

In preparation, please download Zoom and Slack.

Please install Anaconda for Python 3.7, which is a free distribution of python that includes libraries of open source python tools.

This session is not recorded however you will receive the instructors slides following the session.

If you have any questions please reach out to help@generalassemb.ly

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By providing us with your email, you agree to General Assembly’s Terms of Service, and to receive email updates on courses, special events and GA news. You can change your mind at any time and unsubscribe from GA marketing emails by clicking the "unsubscribe" link located at the bottom of every marketing email or by emailing no.marketing@ga.co.