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 ...

This is a preview. Log in through your library . Abstract The analysis of cross-classified discrete data using log-linear models is now as commonplace as the analysis of continuous data using linear ...

Data is one of the most essential commodities for any organization in the 21st century. Harnessing data and utilizing it to create effective marketing strategies and making better decisions is ...

With the proliferation of social indicator databases, the need for powerful techniques to study patterns of change has grown. In this paper, the utility of spatial data analytical methods such as ...

The answer is that in this growing, competitive job world, learning about data science will help young students choose from various job profiles offered by businesses and organisations across the ...