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Live Online: Statistical Foundations with Greg Ryslik (6-week course)
October 23, 2017 @ 8:00 pm
NOTE: This is a live online six-week course provided by Metis. To enroll, follow the link below:
For this first time, we’re offering Statistical Foundations for Data Science and Machine Learning live online.
To learn more, go here: https://thisismetis.com/live-online
This course will serve as introduction to basic statistical principles that are often used by data scientists and applied statisticians. Many of the concepts will be reinforced by using the statistical programming language R, one of the two most popular languages for Data Science.
The intent of this course is to expose students to common statistical issues and teach them how to avoid statistical fallacies. We begin with a high-level overview of probability and common statistical estimates and then proceed to move advanced topics like multiple hypothesis testing, independence, sample size and power calculations as well as bootstrapping.
By the end of the course, students will have a fundamental understanding of many of the statistical principles that underlie machine learning and data science.
Questions? Ask Amy at firstname.lastname@example.org.
How to Prepare
Some knowledge of statistics, probability, and Python.
About the Instructor
Greg Ryslik is the Head of Data Science and Analytics at Faraday Future, and previously led the Data Science team for Service at Tesla Motors. He completed a Masters degree in statistics from Columbia University as well as a PhD in biostatistics from Yale University. He has extensive experience as a teacher and a tutor, and he is currently an Adjunct Assistant Professor with the statistics department at Pennsylvania State University. During his career, he has co-founded several companies, published an actuarial textbook and has worked both on Wall Street and in Biotech.
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
Learn more about us at https://thisismetis.com.
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Metis Code of Conduct
Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).
We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.
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