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 ...

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 ...

Do you want to improve your R skills? Here are my favorite R language resources for users at any level. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find links to the whole ...

For years, SEOs have faced multiple paths when it comes to career development options. For some, the general options involving web development or traditional marketing roles have dominated the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...