Data science primarily focuses on identifying patterns and information in existing data, and predicting future data values. To become a highly skilled data scientist one must understand, and know how to properly apply, ...

Description In real-world situations, data scientists must be able to use data from many dirty, autonomous, and heterogeneous data sources that are far from being ready to be analyzed. Preparing the data for analysis ...

Visual representations and tools are widely used in science, business, and government to extract, and effectively share, insights derived from large, dynamic data sets. This use is driven by two realities. First, the ...