In the field of Data Science, statistics and the use of statistical models play the main role. Though Data Science started with statistics, the evolved version of it includes Machine Learning, the Internet of Things and Artificial Intelligence. Now that more and more data is readily available to companies and they have been storing and collecting all of it in greater amounts.

Since Data Science is a multi-disciplinarian field, almost every industry needs a Data Scientist for serving some or other purpose. If you are looking for Data Science Programs Online, you can check out the courses offered by Teksands. Apart from Data Science, it also offers Python Crash Course Online and Best Online Course for Machine Learning.

With the growth of the internet and data, the exponential growth of data volumes has happened, which has lead to a flood of new information. Not only is Data Science used to increase profits, but also used in other fields such as engineering, social sciences and medicine.

If one asks about the major difference between a Data Scientist and a general Statistician, the main difference is that a Data Scientist will have a good understanding of software architecture and also has the ability to understand multiple programming languages. The main role of a Data Scientist includes defining the problem, identifying the key sources of information, designing the framework for collecting and screening the big data. The software that is responsible for collecting and modelling the data usually works on the principles of Data Science to gain valuable insights into the assets under review.

If you want to trace the growth of Data Science, there are many different dates and timelines, but the most significant ones are mentioned below:

1962

John Wilder Turkey, an American mathematician, wrote some articles about Data Science titled “The Future of Data Analysis”. He also noted that the statistical component of Data Analysis must be characterized as a science rather than mathematics.

1974

Peter Naur, a Danish computer science pioneer, published a book based on surveys of contemporary data processing methods with various applications.

1977

In this year, a book regarding Exploratory Data Analysis was published, which emphasized the need of using data to suggest hypotheses for necessary tests.

1989

Gregory Piatetsky Shapiro organized and chaired the first Knowledge Discovery In Databases workshop.

1994

The Business Week published a cover story on Database Marketing in their September edition.

1996

The trio comprising Padhraic Smyth, Gregory Piatetsky Shapiro and Usama Fayyad published “From Data Mining to Knowledge Discovery in Databases,”

1997

Professor C.F. Jeff Wu gave his inaugural lecture at the University of Michigan and called for statistics to be renamed Data Science and statisticians to be called Data Scientists.

2001

Willian S. Cleveland published “Data Science: An Action Plan for Expanding the Technical areas of the field of Statistics,”

2002

This year saw the birth of a Data Science journal that contained descriptions of data systems, applications and legal issues.

2012

This year, Harvard Business Review published “Data Scientist: The Sexiest Job of the 21st Century”, which was written by D.J. Patil and Tom Davenport.

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