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NYC Entrepreneurship Events: Week of October 22

“One of the huge mistakes people make is that they try to force an interest on themselves. You don’t choose your passions; your passions choose you.”

– Jeff Bezos

Welcome to another week of Entrepreneurship Events in NYC. Here is what is happening:

Monday, October 22

06:30PM – Instagram For Entrepreneurs Workshop

GA
Nikki Nash
10 East 21st Street – New York, NY

This workshop is for Entrepreneurs and Business Owners who would like to build their audience and sell products or services via Instagram.

Wednesday, October 24

06:30PM – Getting Into an Accelerator

Stacklist
Alley Chelsea
119 West 24th Street 2nd floor – New York, NY

Accelerators and incubators are becoming a standard in an entrepreneur’s journey for their startup. They provide a great setting for growth, by giving access to a talented network of mentors and alumni, investors, and early customers. Because of the demand for acceleration and incubation programs, there’s been an increase an acceleration programs over the years that vary from industry agnostic programs to vertical-specific leaders for food, fashion, design, and more. If you’ve been thinking about applying (or why you should apply) to an accelerator, join us on October 24th for a conversation with popular NYC accelerators as we discuss.

06:30PM – Navigating Data Science for Startups
Analytics & Data Science by Dataiku NY
General Assembly
902 Broadway, New York, NY, 10010 – New York, NY

Dataiku is joining with General Assembly to host two talks focused on building successful data science efforts at startups. Tentative Schedule: 6:30pm: Pizza + Beer mingling 7:00pm: TBD with a Dataiku Data Scientist 7:30pm: Navigating Data Science for Startups with Lisa Burton, PhD Executive Director of HearstLab and Kishau Rogers, Founder and CEO of Time Study

Saturday, October 27

10:00AM – Python and Machine Learning Bootcamp Series

GA
Adam Blomberg
10 East 21st Street – New York, NY

In this workshop series, you’ll get a crash course on how to program with Python.

Enjoy!

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