SF - Bay Area Data Science Initiative is a community enabling the current and next generation of Data Scientists, Entrepreneurs, Innovators, Mathematical and Logical Thinkers to focus on their data skills and personal development.
We provide a supportive and positive learning environment in which members are empowered to develop a network and data skills, resulting in greater technical skills.
Do you want to improve your technical interpersonal skills in order to become effective general communicators and gain confidence to become future technical leaders? Then join the SF - Bay Area Data Science Initiative and become a part of our community.
We organize 'learn-by-doing' workshops, informative meetups in which members perfect their data and technical skills in a non-pressure atmosphere, as well as an enlightening environment. We host industry professional speakers and become a hub where the knowledge is being transferred in a cozy environment.
This mini bootcamp is a great opportunity to start a data science career. We are offering a FREE mini bootcamp to prepare you for data scientist positions.
This mini bootcamp will teach you Python basics and machine learning algorithms. During this mini bootcamp, you will explore a hands-on experience that ignites your enthusiasm, gain the confidence to learn data science.
Your learning experience will be supported by office hours and a Slack channel, where you can ask your questions and get help when you got stuck.
Schedule: May 1 - 8 - 15 - 22 Saturdays, from 9:00 am to 11:00 am (PDT) Cost: 100% off ( Deadline April 22)
What You’ll Learn in these 8 hours?
● Python and Jupyter Notebook Basics
● What is Data Science?
● Python Foundations
● Setup the Jupyter Notebook
● Introduction to Python with Jupyter Notebook
● Linear Regression
● Logistic Regression
● Evaluating Model Fit
● Data PreProcessing with Python
● Feature extraction with Python
● Support Vector Machines
About Siobhán Mcnamara:
Siobhán Mcnamara is a data scientist working at Agari, a cybersecurity company in the Bay Area. Originally Siobhán studied Psychology & Economics and had an interest in the intersection of the two. This has lent itself to her current role, they analyze behaviors and use that for identity verification, that is to determine if someone online is who they claim to be. Earlier in her career, Siobhán had a number of research roles in economics and later on learned to code so that she could apply that skillset to a data science position.