Python for Data Science
4

Saturday, 4 February

12 5 pm EST

GA Boston

125 Summer Street
Boston , MA 02110
$180 USD
Regular Ticket
$180 USD
Total

Questions? Read our FAQs

Python for Data Science

4

Saturday, 4 February

12 5 pm EST

GA Boston

125 Summer Street
Boston , MA 02110
$180 USD
Regular Ticket
$180 USD
Total

Questions? Read our FAQs

About This Workshop

Python is a versatile and widely-used programming language with many applications. This workshop 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 introduction to the data science aspects of Python, this class is also a recommended preparatory workshop for students planning to enroll in General Assembly's Data Science course.

By the end of the workshop, students will be able to:

  • Use pandas to perform data analysis
  • Use matplotlib to make visualizations of the data
  • Sci-kit learn to generate a statistical model of the data

Takeaways

  • 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
  • Greater preparedness for GA's Data Science course

Prereqs & Preparation

Students must have taken Python Programming 101 or have equivalent foundational knowledge. ​

  • Note, we will NOT be going through introductory Python. Here is an example exercise you should be able to do before taking this class: Write a function that prints all of the numbers between 1 and 10,000 that are either divisible by 7 or 33 but not both.

Please bring a laptop with Anaconda installed. We will not be taking class time to trouble shoot installation issues, if you have any issues please email boston@generalassemb.ly no later than 24 hours before the class.

Refund Policy

Plans change. We get it. But if you can't make it to a class/workshop, please email us at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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