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San Antonio Chapter Hosts Statistics Career Day

2 May 2016 762 views No Comment
Daniel Hollas, senior associate dean of The University of Texas at San Antonio College of Business, gives a welcome speech to the students who attended Statistics Career Day on March 5.

Daniel Hollas, senior associate dean of The University of Texas at San Antonio College of Business, gives a welcome speech to the students who attended Statistics Career Day on March 5.

To emphasize the significance of statistical and quantitative education in any career path, as well as raise awareness regarding statistics as a rewarding profession, the San Antonio Chapter hosted Statistics Career Day March 5 in collaboration with the TRiO Program and department of management science and statistics at The University of Texas at San Antonio (UTSA).

Students from various local high schools attended the event, which took place at UTSA’s main campus. Following a welcome speech by Daniel Hollas, senior associate dean of the UTSA College of Business, students attended interactive lectures and participated in hands-on statistical activities.

The lectures provided a broad view of statistical applications in many fields. Speakers included statisticians from local research, teaching, consulting, business, financial, and insurance organizations such as USAA, Frost Bank, H-E-B, SwRI, UT Health Science Center, and UTSA. Each career-oriented talk offered a brief overview of real-life, day-to-day statistics applications.

In a lab session, students analyze and visualize their own data using R.

In a lab session, students analyze and visualize their own data using R.

Students were also introduced to R, the popular statistical programming language and a leading data science software. In the hands-on lab sessions, they were able to experience the entire process of statistical analysis by importing, analyzing, visualizing, and interpreting their own data.

The students had many interesting questions and fully enjoyed the day-long event, learning about diverse career opportunities in statistics.

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