Take hands-on courses in applied data analysis, model building, statistical consulting, computer science, individual tutorials and more.
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The summer apprenticeship program has 3 objectives:
A) to provide additional experiential learning opportunities for students by engaging them in active research projects;
B) to support faculty research by training and supporting student research assistants;
C) to develop and identify students that can serve as tutors during the academic year.
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Going Popular … a freely available on-line intro to programming course developed by prof. Bill Boyd is one of the 10 most popular data science courses on Coursera.
Bill Boyd is a QAC Visiting Associate Professor and Visiting Scholar. The course was added to the Wesleyan Coursera ® offerings in the fall of 2016(first session was Monday September 12, 2016)
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There are “number” people, and there are “word” people. Left brains, and right brains. “Quants” and English majors. Or so most of us believe, and Lisa Dierker was no different when she entered Ohio State University in 1986, a first-generation college student paying her own way through school.
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With 13,000 students enrolled, the new Passion Driven Statistics MOOC (massive open online course) is exploring a new educative frontier. Dr. Lisa Dierker is taking her hands-on statistics program to the web. She has created a 6-week statistics course through Coursera, teaching SAS to pupils of all ages and backgrounds. This passion-driven statistics course is setting new standards for online courses.
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With 13,000 students enrolled, the new Passion Driven Statistics MOOC (massive open online course) is exploring a new educative frontier. Dr. Lisa Dierker is taking her hands-on statistics program to the web. She has created a 6-week statistics course through Coursera, teaching SAS to pupils of all ages and backgrounds. This passion-driven statistics course is setting new standards for online courses.
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The Quantitative Analysis Center (QAC) is a collaborative effort of academic and administrative departments. It coordinates support for quantitative analysis across the curriculum, and provides an institutional framework for collaboration across departments and disciplines in the area of data analysis. Learn about and explore our core initiatives below.
ALLB 108
Monday-Friday 4-5:30
Monday-Thursday 7-10:30
Sunday 6-10:30
222 Church Street
Middletown, CT
