Introduction to Python Bootcamp
5

Saturday, 5 October

10 am – 4 pm CDT

GA Chicago @ Rent 24

444 N Wabash Avenue, 5th Floor
Chicago, IL 60611
$195 USD
Regular Ticket
$195 USD
Total
`

Questions? Read our FAQs

Introduction to Python Bootcamp | October 5

Danny Malter Photo


Data Science Manager, MillerCoors

5

Saturday, 5 October

10 am – 4 pm CDT

GA Chicago @ Rent 24

444 N Wabash Avenue, 5th Floor
Chicago, IL 60611
$195 USD
Regular Ticket
$195 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 participants planning to enroll in General Assembly's upcoming Data Science workshop. The workshop is hands-on and exercise based, so participants 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 2.7, which is a free distribution of python that includes libraries of open source python tools. Download prior to class. Please ensure you have 2.7 downloaded, NOT version 3.6.

About the Instructor

Danny Malter Photo

Data Science Manager,
MillerCoors

Danny manages and leads the data science team for MillerCoors. Previous to that, he spent several years as a data scientist for Hyatt Hotels while working on various predictive modeling problems related to customer experience and property development. He also has experience from both startups and larger companies in areas focused on web analytics, data analysis, and data visualization. He enjoys tackling difficult data problems and finding meaning out of unknown data.

Danny holds a BS from the University of Dayton and a MS in Predictive Analytics from DePaul University. In his free time, you can find him biking, playing sports or working on machine learning projects focused on baseball data.

In recognition of his exemplary service in the classroom, Danny has been selected as a member of General Assembly's Distinguished Faculty program.

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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