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Updates

NOTICE:

The University of Texas at Austin has announced that all classes for the remainder of the semester will be held online, with no campus activity. The City of Austin also announced a prohibition of gatherings of more than 10 people in an enclosed space until May 1, 2020. This end date is only a few weeks prior to the start of our Summer Statistics Institute. As we get closer to that deadline UT Austin will continue to evaluate the public health situation, and determine if any sizable gatherings are appropriate.

As a department, we have been evaluating the options of moving forward with the 13th Annual Summer Statistics Institute (SSI). The decision we reached is not one that we made lightly or without considering how that decision could impact affect several different groups.
We have decided that this year’s SSI will be offered May 26–29, 2020, with the following changes:

• SSI courses will be offered ONLINE ONLY.
• There will be a limited number of courses offered (see updated course list below)
• Registration for the above courses will be offered at a 50% discount.

• Courses will have the format for the four days of the Institute:
     • A one hour synchronous session in the morning via Zoom that will be recorded and posted to Canvas
     • An asynchronous session time for participants to run through exercises and/or comprehension checks 
     • Another one hour synchronous session in the afternoon via Zoom that will be recorded and posted to Canvas
     • Follow-up exercises if applicable before the next morning session.

The times for classes are as follows:

  • 9 AM and 1 PM: Introduction to SQL and Relational Database Design
  • 10 AM and 2 PM: Introduction to Data Analysis and Graphics Using R (AM) AND Introduction to Bayesian Statistics
  • 11 AM and 3 PM: Scalable Machine Learning: Methods and Tools

More information can be found below.

Be well,
The Department of Statistics and Data Sciences


The Department of Statistics and Data Sciences at The University of Texas at Austin is hosting the 13th annual UT Summer Statistics Institute (SSI) May 26–29, 2020.  

SSI OVERVIEW:

  • SSI attracts participants from academia, health professions and marketing firms.
  • Participants acquire new statistical knowledge and skills through hands-on data analysis.
  • SSI provides an exciting venue to build statistical knowledge alongside a diverse and dynamic audience.

UT's Summer Statistics Institute (SSI) offers intensive four-day workshops on diverse topics from introductory data sciences to advanced statistics. Whether you are new to data analysis or a seasoned statistician, SSI provides a unique hands-on opportunity to acquire valuable skills directly from experts in the field. The UT Summer Statistics Institute (SSI) is open to 700 participants.

Courses span introductory statistics, statistical software, statistical methods and statistics applications. Each course will meet for four half-days, either mornings or afternoons, for a total of twelve hours. Instructors will post lectures, datasets, exercises, and course information on a website accessible to enrolled participants. There will be no examinations, and participants will receive certificates upon completion. Academic credit will not be issued. Please carefully check the specified prerequisite knowledge before enrolling in a course.

The Department of Statistics and Data Sciences now offers credit for educational professional development opportunities during our 2020 Summer Statistics Institute! Teachers currently working in PK–12 settings can earn 12 hours of Continuing Professional Education (CPE) by attending one of our 25 (restricted to 4 for 2020) exciting SSI courses held May 26-29, 2020. 

Courses will be held on the ONLINE.

REGISTRATION has now closed

Want to stay up to date with ssi news? SUBSCRIBE HERE.

 

Courses

SSI 2020 Course & Event Information

  • Introduction to Bayesian Statistics 
  • Introduction to Data Analysis and Graphics Using R (AM)
  • Introduction to SQL and Relational Database Design
  • Scalable Machine Learning: Methods and Tools
 

  SSI 2020 Brochure