![]() I believe that the Challenge also provides Alteryx and the Alteryx Commnity with special opportunities. There's no doubt that Alteryx wouldn't be where it is without its exceptionally bright and passionate community of users, and this is an opportunity for it to absorb some of the bright young talent that the MSBAPM program attracts from around the globe. This challenge, highlighted by its opportunity to learn Alteryx, can transform the student who is intimidated by complex problems to one that is excited about the many possibilities in which to approach it. I've also gotten to see (and feel) firsthand the difference between someone being relieved that they finally got another combination of tools to accomplish the task that they wanted and someone being excited that they were able to quickly and effectively manipulate data to gain insights. ![]() Personally, until the Data Challenge, I'd turned to Python in an attempt to enjoy analytics. I've watched fellow students experience pain and anxiety using combinations of Excel, SQL, JMP, and SAS EM alongside others and seen that be amplified by steep learning curves. Though most of the submissions (homework, exams) in the program are software agnostic, SAS is best-known by instructors and hence is best supported throughout the curriculum. Thus, I can attest to the opportunities that the Challenge provides to the students at UCONN. I'm an alumnus of the MSBAPM program, and my success in the Spring Data Challenge led to my employment here with Alteryx. Though we suggest several options for datasets to explore, students are encouraged to delve into any datasets they find interesting and try to glean insights from them. The Data Challenge in the spring was a huge success with over 100 students and alumni registering as teams of 1-4 and going from no Alteryx experience to building exciting and cool workflows, apps, and macros in less than 2 weeks. ![]() With the University of Connecticut's Masters of Science in Business Analytics and Project Management (MSBAPM). She holds a MS in Business Analytics & Project Management from the University of Connecticut (UCONN).I am excited to announce that October 13th will mark the kickoff of the second Stephanie is passionate about teaching and enjoys facilitating conversations that foster collaboration and the sharing of professional experiences amongst her students. From there, she was part of an investor relations team, after which, Stephanie landed at Travelers, where she has spent close to 10 years supporting the Data & Analytics team within the Risk Control Organization. ![]() Stephanie began her career in the actuarial space after which she transitioned to enterprise risk management, where she gained exposure to managing both operational and financial risks. Proficient in several programming languages (SQL, SAS, Python, R), she has over 10 years’ experience working in the Insurance & Financial Services industries. Stephanie Wallace is a Guest Lecturer at the University of Washington Information School specializing in Data Analytics, Business Intelligence, and Predictive Analytics & Machine Learning.
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