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Python for Data Science

  • All levels
  • 18 and older
  • $175
  • 125 Summer St, Boston, MA
  • 6 hours

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  • $175
  • General Assembly Boston @ 125 Summer St 13th Fl, Boston, MA 02110
  • 6 hours
  • A computer will not be provided.

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Class Description

Description

What you'll learn in this python class:

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 Intro to Python Bootcamp 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.
  • Anaconda Installation Instructions:
  • Visit https://www.anaconda.com/download/ Download the latest 3.x version. When the download is complete, run the installer.
School Notes:
For students enrolling in 12 week part time and immersive classes, it is not recommended that you book more than one class simultaneously.

Refund Policy

If you can't make it to a class/workshop, please email us at [email protected] at least 7 days before the scheduled event date. No refunds will be given after this timeframe.


In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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