Introduction to Python Bootcamp
2

Saturday, 2 May

10 am – 4 pm CDT

GA Chicago @ 150 N Wacker

150 N Wacker, Suite 2600
Chicago, IL 60606
$250 USD
Regular Ticket

Sold Out!

Get on the waitlist

Be the first to know if a spot becomes available.

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Questions? Read our FAQs

Introduction to Python Bootcamp | May 2

Carleton Smith Photo


Data Science Immersive Instructor, General Assembly

2

Saturday, 2 May

10 am – 4 pm CDT

GA Chicago @ 150 N Wacker

150 N Wacker, Suite 2600
Chicago, IL 60606
$250 USD
Regular Ticket

Sold Out!

Get on the waitlist

Be the first to know if a spot becomes available.

Add me to the waitlist

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

Carleton Smith Photo

Data Science Immersive Instructor,
General Assembly

Carleton Smith is a proud machine learning nerd. Before completing his Predictive Analytics degree from DePaul University, Carleton drifted from one unsatisfying sales job to another within the insurance and technology industries. Since discovering his passion for machine learning, Carleton has worked as a Data Analyst for the fintech firm, Envestnet, and as a Visual Informatics Researcher at DePaul University. Carleton is an avid Indiana University basketball fan (Go Hoosiers!) and enjoys running, morning coffee, and spending time with his 7 year old puppy.

In recognition of his exemplary service in the classroom, Carleton has been selected as a member of General Assembly's Distinguished Faculty program. Additionally, Carleton serves on the General Assembly Data Science Advisory Board.

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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