Survival analysis, the branch of statistics devoted to modeling the time until an event occurs, has long been a stronghold of ...

Python has some wonderful libraries for statistical analysis, but they might be overkill for simple tasks. The built-in statistics library might be what you want instead. Here are some things you can ...

This book introduces Python as a tool for digging into data to inform business decisions. Joseph Schmuller assumes no knowledge of coding and shows how to apply Python to statistical analysis tasks.

Recently, I have been looking into the Data Scientist Certification.At first, I thought, 'Since it is a certification for ...

I have recently been studying JavaScript and statistics.In JavaScript, I am manipulating the DOM, taking values from forms, and changing displays based on conditions.In statistics, I am gradually ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

The volume and variety of enterprise data collected for analytics and AI applications continue to increase. To gain valuable business insights from these complex data assets, organizations are also ...

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 ...