I'm a big fan of Python for data analysis, but even I get curious about ... an introductory statistics course, OpenIntro's ...

On a typical night in Anytown, USA, countless families, friends and individuals are hanging out in their living rooms and binge-watching Netflix. As they settle in for a relaxing evening in their ...

R is a free computing and graphical software/environment for statistical analysis. This short course is designed to provide a basic statistical analysis in R using two data. The first data set comes ...

Predictive analysis refers to the use of historical data and analyzing it using statistics to predict future events. It takes place in seven steps, and these are: defining the project, data collection ...

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

What are the skills needed to become a data analyst? originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answer by ...

When business people talk Big Data, they often focus on the complexity of dealing with enormous data volume, but that’s changing. Volume alone does not pose the challenge it once did. For example, the ...