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 ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

The Cornell Data Science project team will launch an unofficial student-led training course this semester — taught and developed entirely by Cornell students — to help students gain hands-on ...

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 ...

R is a powerful, versatile, and free statistical programming language, which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming ...

This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...

A study of the key processes and concepts underlying reproducible data visualisation in statistics. Applications include mapping, time series forecasting and visual inference across all domains. The ...

Interoperability difficulties resulting from discrepancies in preferred programming languages can be resolved via statistical computing environments. In the biomedical and pharmaceutical industries, ...