SF Data Science and LTC SF Meetup - Introduction to Python for Data Science

*Note: space is limited to 150 attendees; first come, first served.

In this 2 hour course we're going to dive right into using Python. We'll learn about the syntax, some popular libraries, workflows, and tools that will prepare us for the exciting world of Data Science. This is a 100 level course beginning with the fundamentals of Python and ending with a working project demonstration of the skills developed in the course.

Schedule:  
6:00 pm - Doors open & food/drinks 
6:50 pm - Announcements 
7:00 pm - Talks Start  
8:30 pm - Networking

Meet your Instructor:  
Tim Reilly, Microsoft  
Tim works at Microsoft as a Technical Evangelist. His job is to spread the good word of technology. Tim's an avid attender of hackathons and Ultimate Frisbee games.
Twitter Handle: @timmyreilly

What to Bring:  
Laptop

Prerequisites:
Familiarity with a command prompt/terminal/bash is helpful but not necessary

What You Will Learn: 
- Python's REPL
- Installing Python Packages
- Popular libraries like Requests and Pandas
- Using Jupyter

Where to learn more: 
http://www.meetup.com/sfpython/
http://docs.python-guide.org/en/latest/
https://www.reddit.com/r/python


Thanks to our Sponsor!
Galvanize is a learning community for technology. Galvanize’s data science bootcamp is renowned for transforming students into industry ready data scientists; with less than 30% acceptance rate, the data science immersive requires aptitude, drive and determination.

If the three month data science bootcamp is too fast, the year long Masters in Data Science (accredited by the University of New Haven) is a better fit for you.

*Note: Galvanize is Hiring Data Science Instructors:  
Interested in teaching the next generation of data scientists? Galvanize is hiring data science instructors! If you’re interested in joining the largest team of data science faculty on the planet, apply here.

Location

Galvanize San Francisco - Soma
San FranciscoUnited States

Dates

From 11th July 2016 - 06:00 PM
to 11th July 2016 - 08:30 PM