Making coding accessible to diversity STEM undergrad and graduate students. Cal NERDS Python bootcamps provide access to coding to UC Berkeley diversity STEM undergraduate and graduate students. They are offered throughout the year. Each bootcamp is around four hours long and scheduled on the weekends. There are two types of bootcamps covering different topics; Introduction to Python - no prior coding experience needed and Advanced Python. These workshops are designed for students who don’t have time to enroll in a semester-long course but want coding experience. These bootcamps are made possible by a generous donor named Susan Lyne. Get ready for a career in the tech industry with these skills sets!
REGISTRATION FOR PYTHON 101: INTRO TO PYTHON | Open
- Saturday, March 3rd, register here https://tinyurl.com/learnpython18 :
- Lena, UC Berkeley Senior
In this workshop, we will learn about fundamental data types, conditionals, loops, functions, debugging techniques, and plotting with the numpy and matplotlib packages. No prior coding experience needed. Participants also receive a intro to python coding book. Please note that you must use your UC Berkeley e-mail to register. Non-UC Berkeley e-mails will be removed form registration. Other future dates will be September 23rd, October 21st, and November 11th.
REGISTRATION FOR PYTHON 102: PYTHON & DATA SCIENCE | Open
- Saturday, April 28th, register here https://tinyurl.com/learnpython18
Python Contact Info
Cal NERDS Python Student Coordinator Kenia Pina
Cal NERDS Director Diana Lizarraga
# (510) 778-5165, texts ok
This pilot workshop will introduce data visualization and storytelling in Python. We will use the Pandas data analysis toolkit to explore data sets and practice computational thinking. All levels and majors welcome!
REGISTRATION FOR PYTHON 201: ADVANCED PYTHON | Open
- Saturday, March 10th, register here https://tinyurl.com/learnpython18
In the advanced python bootcamp, we will learn about more advanced data structures, object-oriented programming, scientific computing techniques, and analyzing text and data from files. Please note that you must use your UC Berkeley e-mail to register. Non-UC Berkeley e-mails will be removed form registration.