Statistics for Data Science: How Many Bags Should I Bring Grocery Shopping?

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About the Event:

Statistics underlie nearly every aspect of the work of a data scientist. We will use a straight-forward example of a data science challenge encountered by a San Francisco grocery delivery company to illustrate some key concepts in statistics. The company needs to accurately predict how much space an order will take up in a vehicle (in terms of number of bags) in order assign delivery routes efficiently. This problem is analogous to one that every grocery shopper faces: "do I have enough bags for all of my groceries?" -- Thus, it is a great jumping-off point for diving into some statistics.

You will learn about topics such as the Central Limit Theorem, and Bootstrap Aggregating, which come up as we go through the process of iteratively improving our predictions of the number of bags in an order. These subjects are just a few of the key elements of statistics that we cover in our 12-week, full-time Data Science Immersive program at Galvanize. Our language of choice for data science at Galvanize is Python and I will be using Python for demonstrating various results during the talk, but no prior experience with Python is expected of the audience.

About the Instructor:

Brad Jacobs (https://www.linkedin.com/in/bradleyajacobs) has a passion for exploring data springs from his experience studying millions of stars across hundreds of nearby galaxies observed with the Hubble Space Telescope. When not pondering galaxies Brad spent his time teaching astronomy in various classroom and outreach settings. After deciding to pursue work involving more earthbound datasets, he joined Cohort-1 (zero-indexed) of Zipfian Academy, the precursor to Galvanize's Data Science Immersive. Brad then went to work as a machine learning engineer at a consumer analytics startup before choosing to rejoin Galvanize as an instructor.

Agenda: 6:00pm – Doors open, networking, snacking

6:20pm – Lesson kick-off

7:45pm – Final notes, open Q&A

8:00pm – Conclusion

About Galvanize:

Galvanize is an education company that blends the lines between learning and working. We believe in creating easy access for anyone who has the drive and determination to jump into the tech world, especially in entrepreneurship, engineering, and data science. Our campuses are home to students, startups, investors, mentors, and other people who are engaged and excited to level up their skills. To learn more about Galvanize, visit galvanize.com (http://galvanize.com/).

Questions?:

If you have any questions about Galvanize's Data Science Immersive program before this event, please feel free to reach out to our Admissions Advisor, Victor, at victor.valdez@galvanize.com .

*Reminder: register for this event via Eventbrite (https://www.eventbrite.com/e/statistics-for-data-science-how-many-bags-should-i-bring-grocery-shopping-tickets-32198259862?aff=DS).