Python 101 and Data Science 101

Date: Saturday, 26th January, 2019
Location: Zerodha Sales Office
175/176, 2nd Floor,Bannerghatta Main Road, Next to Rainbow Hospital, Bilekahalli, Dollar Layout, Stage 2, BTM 2nd Stage, Bengaluru, Karnataka 560076

Python 101:
This workshop aims at giving you exposure to the fundamentals of Python, what Python is and how to go about using it, from variables to loops to classes and more!

Data Science 101:
Th data science 101 gives you a programming exposure on using pandas to solve problems. This workshop requires you to have strong programming experience with Python.

Agenda:
< 09:30 - Registration
09:30 to 09:45 - Set the tone: PyLadies BLR Introduction
9:45 to 14:00 - Python 101 / Data Science 101 (with a half-hour break for Pizza!)
> 14:00 to 15:00 - Networking!

Pre Requisites to volunteer:

• Python 101: programming experience with basics of Python (loops, classes, constructors, defined functions)
• Data Science 101: programming experience with everything mentioned above and Pandas and Jupyter notebook

Fill this form to let us know which workshop to register: https://goo.gl/forms/nbeFqISapXVi2DN52

To volunteer for either workshops, use this form: https://goo.gl/forms/gJ1zb0VRinTGrs012

Speaker bio:
Python 101 will be conducted by Neha Yadav and Devyani Kota.
Neha is a Software Developer at Zerodha and an Open Source contributor for Mozilla and Kubernetes. She's also an alumnus of Rails Girls Summer of Code.
Devyani Kota is an Associate Software Engineer at Red Hat and was also a student developer via Google Summer of Code and an alumnus of Google Summer of Code.

Data Science 101 will be conducted by Lakshya Sivaramakrishnan and Usha Rengaraj.
Lakshya manages the Women Techmakers program in India which provides visibility, community, and resources for women in technology. She is a data science enthusiast, building technical expertise in Machine Learning, Google Assistant and Cloud Platform.
Usha is a data scientist with strong foundations in economics, finance, business foundations, business analytics and psychology with a deep interest in Data Science.