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Galvanize Statistics Short-Course for Data Science – San Francisco

April 17 @ 6:00 pm - April 18 @ 9:00 pm

33347914510-29942778

This event has filled, but please join the waiting list as we will release tickets as they become available.

 

As part of the admissions process for the Galvanize Immersive program in Data Science there are two interviews: Python and statistics. These materials survey the areas of probability and statistics that will be covered in the statistics interview. In addition to the overview there are resources for further study that are meant to reinforce the most important topics.

Prerequisites: You MUST be an active applicant for the Galvanize Data Science Immersive to attend this free workshop. You can submit your application here.

The main topics to be covered will be as follows:

Day 1 (4/17 – 6pm – 9pm): Probability, Probability distributions, Bayesian and frequentist paradigms

Day 2 (4/18 – 6pm – 9pm): Random variables, Statistical inference, Regression, Classification, Evaluation metrics

We will begin in the first day with a gentle introduction to probability and the major distributions used in statistics. We will finish with a concept-driven explanation of frequentist and Bayesian statistics.

On the second day we will dive a bit further into how to make use of probability distributions for inference and hypothesis testing. We will then introduce regression and classification through the use of examples. Finally, we will discuss some of the commonly use methods of evaluating model results.

We will use Python to illustrate the concepts, but no working knowledge of Python or any other language is required.

 

Prerequisites: You MUST be an active applicant for the Galvanize Data Science Immersive to attend this free workshop. You can submit your application here.

 

What to bring: a laptop

About Galvanize:

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:

  • Education – part-time and full-time training in web development, data science, and data engineering
  • Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth
  • Networking – events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences

To learn more about Galvanize, visit galvanize.com.

Details

Start:
April 17 @ 6:00 pm
End:
April 18 @ 9:00 pm

Venue

Galvanize (San Francisco
44 Tehama Street
San Francisco, CA 94105 United States

Organizer

Galvanize