Data Science

 

Next up in the list of latest technology concepts is not surprisingly Data Science. Data Science is the technology that helps to make sense of complicated data. You know that data is produced in a humungous amount every day by companies. This includes business data, sales data, customer profile information, server data, and financial figures. Most of this data is in the form of huge data sets that are unstructured. The role of data scientists is to convert these unstructured data sets into structured datasets. Then, these data sets can be analyzed to identify patterns and trends. These patterns are useful for understanding the company’s business performance, customer retention, and how these areas can be improved.

Data science is an interdisciplinary field focused on extracting knowledge from data sets, which are typically large and applying the knowledge and actionable insights from data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data-driven solutions, and presenting findings to inform high-level decisions in a broad range of application domains. As such, it incorporates skills from computer science, statistics, information science, mathematics, information visualization, data integration, graphic design, complex systems, communication and business.

Data science is booming exponentially in almost all parts of the world. Data scientists are highly sought after because they seem to have the “magical” ability to create value from data for data-driven companies and organizations. Today, anyone can become data scientists because of the internet. Yes, you heard me. You don’t need a college degree in Computer Science or a Ph.D. in Deep Learning to be qualified as a data scientist. As long as you can do what companies want you to do proffer valuable insight from data and help them grow their business and make decisions you are a data scientist.