Data Science in Engineering and Management

Gets the reader up to date with an introduction to the concept of data science, its reasons and origin
Focused on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis
Provides an overview of recent developments and applications on data linked to engineering and management perspectives
Covers how data scientists, analysts, and program managers that are interested in productivity and improving their business can do so by incorporating a data science workflow effectively
Presents recent trends, highlights future developments, along with discussing problems and offering suggested solutions