What is Data Science ? Data Science as a career Choice in 2024

What is Data Science ? Data science is the study of extracting the meaningful data from the raw data for business insight. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence (AI), and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answers questions like what happened, why it happened, what will happen in the future, and what can be done with the results as per the previous data or Earlier data.

Why Data Science is Important?

Data science is important because it combines different tools, methods (by data mining, data warehousing) , and technology to generate meaning from the undefined data or Raw data.

History of data science

while the term data science is not new, the meanings has changed over time. The word first appeared in the ’60s as an alternative name for statistics. In the late ’90s, computer science professionals formalized the term and proposed the name as Data Science. A proposed definition for data science saw it as a separate field having three aspects :

Data design.
Data collection.
Data analysis.

Future of data science

As we know, in this era of digitalization data is more important. Artificial intelligence and machine learning innovations have made data processing faster and in more efficient way. Industry demand has created an ecosystem of courses, degrees, and job positions within the field of data science. Because of the cross-functional skillset and expertise required, data science shows strong projected growth over the coming decades.

What is the data science process?

A business problem typically initiates the data science process. A data scientist will work with business stakeholders to understand what is the requirement of business or what a business needs.