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EVENT DETAILS |
<H2><SPAN>Crush the Take-Home, Part 2: Intro to Stats</SPAN></H2>
<H3><STRONG><SPAN CLASS="aBn"><SPAN CLASS="aQJ">Please note that this is a 2-day class & will take place on the consecutive evenings of Wednesday, May 24th, & Thursday, May 25th<SPAN>and will cover the same material as the Intro to Stats Meetup hosted last month.</SPAN><BR></SPAN></SPAN></STRONG></H3>
<P><STRONG><SPAN CLASS="aBn"><SPAN CLASS="aQJ">Wednesday, May 24, 6:30 pm - 8:30 pm & Thursday, May 25, 6:30 - 8:30 pm</SPAN></SPAN></STRONG></P>
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<P><EM><STRONG>Are you interested in becoming a Data Scientist, but don't know where to start?</STRONG></EM></P>
<P>The first two steps are to have a solid understanding of the principles of statistics, & knowledge of a programming language to implement them (often Python).</P>
<P>Galvanize's Crush the Take-Home: Intro to Stats is designed to give you the stats knowledge required to enter our full-time, 12-week Data Science Immersive program.</P>
<P><EM>Please note that space is limited & priority will be given to attendees who intend to apply for the immersive program. </EM></P>
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<P><STRONG>Main topics covered:</STRONG></P>
<P><SPAN>Day 1: Probability, Random Variables, Probability Distributions</SPAN></P>
<P><SPAN>Day 2: Statistical inference, Hypothesis Testing, Linear Modeling, Evaluation Metrics</SPAN></P>
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<P><SPAN>Day one begins with a gentle introduction to probability & the major distributions used in statistics.</SPAN></P>
<P><SPAN>On the second day, we dive further into how to make use of probability distributions for inference & hypothesis testing. We then introduce regression & classification through the use of examples. Finally, we discuss some of the commonly use methods of evaluating model results.</SPAN></P>
<P>Because knowing Python is a prerequisite for the Data Science Immersive program, we will rely on Python libraries to explore statistics concepts & expect attendees to be able to code along.</P>
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<P><STRONG>What you need for class:</STRONG></P>
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<P><SPAN>BYOL (fully charged). Please be ready with Python-equipped laptop capable of running jupyter notebooks. </SPAN></P>
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<P><SPAN>If you do not have Python, we recommend installing the Anaconda distribution (for free!) with version 2.7 or higher.</SPAN></P>
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<P><STRONG>About our Sponsor</STRONG></P>
<P>Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following:</P>
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<P><EM>Education</EM> - part-time & full-time training in web development, data science, & data engineering</P>
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<P><EM>Workspace</EM> - whether you're a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company's growth</P>
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<P><EM>Networking</EM> - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences</P>
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<P>To learn more about Galvanize, visit<A HREF="http://galvanize.com/" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">galvanize.com</A>.</P>
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<P><IMG SRC="https://cdn.evbuc.com/eventlogos/177772429/galvanizelogo2.png"></P>
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