Python Programming Bootcamp
2

Saturday, 2 November

10 am – 4 pm EDT

GA Atlanta, Ponce City Market

675 Ponce De Leon Avenue NE, 2nd Floor
Atlanta, GA 30308
$180 USD
Regular Ticket
$180 USD
Total
`

Questions? Read our FAQs

Python Programming Bootcamp | November 2

Ruchi Garg Photo


Freelance Data Scientist

2

Saturday, 2 November

10 am – 4 pm EDT

GA Atlanta, Ponce City Market

675 Ponce De Leon Avenue NE, 2nd Floor
Atlanta, GA 30308
$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 refresher for students planning to enroll in General Assembly's upcoming Data Science course. The course is hands-on and exercise based, so students will get plenty of practice.

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

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 (https://www.python.org/downloads/release/python-366/).

About the Instructor

Ruchi Garg Photo

Freelance Data Scientist

Ruchi Garg has about 5 years of Software development experience, most recently as Analytics Software Developer with IBM. She is a Data Science immersive graduate from General Assembly and is currently working as Python Guest lecturer for Web Development Immersive course.
She loves wrangling with datasets and using Python and Statistical methods to derive useful inference.

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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