Data Science & Automation

Digital Science & Automation

Data science automation involves the use of data science techniques and tools to automate data-related tasks and processes.

Data Science

Data science refers to the field of study that involves extracting insights and knowledge from data by employing various techniques and tools. It combines elements from mathematics, statistics, computer science, and domain expertise to analyze large and complex datasets and make data-driven decisions. Data scientists use programming languages like Python or R, as well as machine learning algorithms and statistical models, to process, clean, and analyze data.

Data Automation

Data Automation involves the use of technology and systems to perform tasks or processes with minimal human intervention. It aims to streamline and optimize workflows, increase efficiency, and reduce errors. Automation can be applied to various areas, including manufacturing, business operations, customer service, and data analysis.