This course focuses on the art of communicating ideas imbedded in data through visual means. Students are introduced to industry-standard graphic and data design techniques used to create understandable visualizations in order to communicate effectively with a particular audience. Techniques in organizing and articulating data are developed using real world examples. The course materials, assignments and project will all be prepared using the R programming language.
This course will introduce students to foundations of relational database design and management with a focus on business domains and business analytics applications. Topics include database design principles, entity-relationship diagrams, constructing queries in SQL, connecting, updating, and analyzing databases -- critical skills for data analysts. The course materials, assignments and project will all be prepared using the R and SQL programming language.
The course consists of applied training in foundational topics for supervised learning such as Linear Regression, Nearest Neighbors and Neural Networks. It first builds a sound understanding of data preparation, exploration and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains, rather than on mastering the mathematical and computational foundations of the techniques.
The focus of this course is on statistical and data analytical methods for the preparation of business forecasts. A variety of empirical techniques are covered: smoothing methods, moving averages, regression analysis, classical time-series decomposition methods, and ARIMA (Box-Jenkins) models. Emphasis is placed upon building forecasting models and evaluating their reliability. The focus is on time-series data. R is the preferred statistical package; Tableau and other packages will be introduced as time permits.
The 赌博现金网 offers a wide variety of in-depth courses that create a transformational educational experience for our students. To view the complete list of courses you'll take while pursuing a M.S. in 商业分析, check out the Academic Catalog:
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All 赌博现金网 students have access to the many resources available through the University’s 职业发展 Center, which has been named one of the best in the nation by The Princeton Review.
From career assessments, networking, and job shadowing to on-campus interviews and salary negotiation, the 职业发展 Center provides the skills and connections to identify a meaningful career and an opportunity to pursue your passion.学到更多
Business and Entrepreneurship
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Business Professor Says Remote Learning Cultivates Students’ Entrepreneurial Mindset, Fosters Innovation
Brian A. Marks, J.D., Ph.D., senior lecturer in the Department of 经济学 and 商业分析, is leading a team of professors that quickly moved 10 sections of an introductory Business and Entrepreneurship course to a remote format and, within days, had a plan to make the culminating business plan competition a live online event.
Our 商学院 is Among the Top 5% Worldwide
AACSB accreditation means that our 商学院 has passed a rigorous set of standards. The faculty, students, programs and research have been closely examined and judged to be of exceptionally high standards.学到更多