New York Data Science presents Intro to Data Science using Python

https://www.galvanize.com/campuses/new-york

Galvanize NYC

<P CLASS="label-primary">While understanding data science has never been easier, it helps to have a guide to help you get started on your journey. In this free hands-on workshop with Galvanize, you’ll learn the very basics of data science via the Python programming language.</P>
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<P><SPAN>Our community of staff, students, and professional instructors will guide you through the elementary aspects of Pandas, Matplotlib, statsmodels, and a little scikit-learn, some of the most popular tools in the data science toolbox. We will investigate and visualize data, develop a linear model, and play around in the sandbox if we have time.</SPAN></P>
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<H3><SPAN>What to Bring?</SPAN></H3>
<P>Your laptop and charger</P>
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<H3><SPAN>Please have the following installed: </SPAN><BR><BR>- <A HREF="https://www.python.org/download" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Python 2.7 or 3.5</A> <BR>- <A HREF="http://git-scm.com/download" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Git (should be okay if you have a Mac)</A> <BR>- <A HREF="https://continuum.io/downloads" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Anaconda for Jupyter Notebooks</A></H3>
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<H3><SPAN>What You’ll Learn</SPAN></H3>
<P>• Fundamental concepts of modeling: inference, prediction, and generalizability <BR>• How to create a linear regression model on some real data <BR>• How to use Pandas, StatsModels, and Matplotlib within a Python Jupyter notebook</P>
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<H3><SPAN>Meetup Schedule</SPAN></H3>
<P>6:30 pm – Networking & Announcements <BR>6:40 pm – Models: the fundamental concepts <BR>6:50 pm – Setting up your computer in Anaconda for Jupyter Notebooks <BR>7:00 pm – Getting started with Pandas, Matplotlib, and StatsModels <BR>7:30 pm – Exploring a data set and building a linear model <BR>8:15 pm – Wind down, sandboxing & Q&A <BR>8:30 pm – HARD STOP</P>
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<H3><SPAN><SPAN>Prerequisites </SPAN></SPAN></H3>
<P>This is a beginner workshop, but some background on Python in data science would certainly help. <BR><BR><STRONG><EM>We recommend the following options: </EM></STRONG><BR><BR><A HREF="https://learnpythonthehardway.org/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Zed Shaw's Learn Python the Hard Way</A> <BR><A HREF="https://github.com/GalvanizeOpenSource/Learn-To-Code-Intro-Python-DS-1" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Galvanize's Intro to Python for Data Science</A> <BR><A HREF="https://github.com/GalvanizeOpenSource/python-resources/tree/master/exploring_data" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Explorations of Python for Data Science</A></P>
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<P><STRONG>About our Sponsor</STRONG></P>
<P>Galvanize is a 21st Century school for entrepreneurs, engineers, and data scientists.  On eight campuses across the U.S., the energy, intellect, and ambition of Galvanize students, members, and alumni are at the heart of a learning community that promotes belonging, and that celebrates courage and growth. Our faculty and flexible blended-learning platform, combining part-time online education and in-person training, provide the most relevant and in-demand technical skills to anyone with the smarts, drive, and grit to re-skill, up-skill and define success on their terms. Our members include first-time entrepreneurs, growing startups, and Fortune 1000 companies all looking to level-up. Become a member or enroll in an immersive course by visiting the Galvanize website.  Follow us: Facebook, Instagram, Twitter, and YouTube.</P>
<P>To learn more about Galvanize, visit <A HREF="http://galvanize.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">galvanize.com</A>.</P>
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Galvanize

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New York Data Science presents Intro to Data Science using Python

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