data science

data science
Data science deals with the development and implementation of a set of analytical techniques or programs to transform raw data into meaningful information using computer-based programming languages and visualization software.
In order to extract and analyze information from large and structured or unstructured data sets, you can use data mining, data modeling, natural language processing, and machine learning. Use Machine Learning).

The importance of data-driven decision making

Data and analytics are changing the basis of competition. Leading companies use their capabilities not only to improve their core operations but also to launch entirely new business models. The role of data and analytics is increasingly no longer an independent discipline, but rather as a catalyst for digital strategy or transformation.
For years, analysts have predicted that data analytics will become critical to business success, and data and analytics capabilities have advanced in recent years with new automated tools, easier integration of data sources, real-time reporting, interactive data visualization, and more. They have taken a big leap forward.