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 ...

Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...

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 ...

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 ...

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 ...

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, ...

Undergraduate pre-requisite: QSTSM 131 or sophomore standing and QSTSM 131 previously or concurrently. - Exposes students to business data and business analytics. Topics in business analytics include ...

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 ...