Data Science


Data Science is a vast area of study whichcontains many other fields like Data Mining, Big Data, Data Analytics, Data Visualisation. It is a multifaceted discipline, covering machine learning and other analytic processes, statistics and related branches of mathematics. Data science makes use of high performance scientific computing to extract insight from data and use this newfound information to take more effective business decisions.

Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven). Today, with so much of data available and more and more being generated all the time.Instead of becoming more informed, people are getting more overwhelmed as it is becoming increasingly difficult to determine what’s accurate, what’s important, and what isn’t.

Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge.Data-driven scientific discovery is a key emerging paradigm driving research innovation and industrial development in domains such as business, social science, the Internet of Things, and cloud computing.


Data science allows you to turn raw data into understanding, insight, and knowledge.

Data-driven scientific discovery is a key emerging paradigm driving research innovation and industrial development in domains such as business, social sci­ence, the Internet of Things, and cloud computing.

Most valuable companies in the world today — Apple, Amazon, Facebook, Microsoft and Google — have commodified data and taken over their respective sectors. According to Jonahtan Taplin, director emeritus of the USC Annenberg Innovation Lab and the author of Move Fast and Break Things: How Google, Facebook and Amazon Cornered Culture and Undermined Democracy "Data is clearly the new oil,".

Applying data science to data generated in any business organisation will provide lot of insights into their data and help in taking informed business decisions.

Data mining is a science of collecting all the past data and then searching for patterns in this data. You look for consistent patterns and/or relationships between variables. Once you find these insights, you validate the findings by applying the detected patterns to new subsets of data. The ultimate goal of data mining is prediction.