Students interested in mathematics, technology and problem-solving can consider data analytics and data science as alternatives to a conventional Computer Science Engineering degree. Although the two ...

This certificate is STEM approved. Please visit the ISSO website for details. Epidemiology and biostatistics are the quantitative sciences of public health, investigating causes and prevention of ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Undergraduate pre-requisite: QSTSM 131; students beyond first-year must take QSTSM 131 previously or concurrently. - Exposes students to business data and business analytics. Topics in business ...

Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, such as science, engineering, business, medicine, ...

This course surveys and introduces mathematical methods that are necessary for taking further courses in the data science MS program (DAT-MS). It includes topics from analysis, linear algebra, ...

This introductory course is designed to give students the basic skills to organize and summarize data, along with an introduction to the fundamental principles of statistical inference. The course ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. Regardless of your career choice, you will always need a ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to teach you ...

JMP is a user friendly statistical software package that puts advanced analytic capabilities within an easy-to-use graphical interface. JMP is different from other statistical programming packages ...

The pharmaceutical industry thrives on precision and an unwavering commitment to patient outcomes. In this dynamic landscape, leadership in statistical programming extends beyond managing data or ...