Data science blog

 Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extracting knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. 

The aim of data science is to make better decisions and predictions by using data. It is a process of making business decisions by using data.

Data science is a combination of statistics, computer science and business. It is a process of making business decisions by using data.

There are three main stages in data science:

1. Data collection

2. Data processing

3. Data analysis

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.

Data science is a concept to unify statistics, data analysis, machine learning and their related methods in order to understand and analyze actual phenomena with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, computer science, and information science. Tensors, a type of data structure used in data science, are higher-dimensional arrays that can represent data with more than two dimensions. Data science is related to data mining and big data.