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That is a fantastic question, and it shows you're thinking deeply about the roots of Data Science ????
Let's go step by step —
Origin of Data Science

1. The Beginning: 1960s – The Birth of the Term
   The term "Data Science" was first used in the 1960s.
   It emerged from statistics, the original science of collecting and analyzing data.
   In 1962, the American mathematician John W. Tukey wrote of the need for a new discipline,
   which combined data analysis and computing: an early vision of what we now mean by Data Science.

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3. 1970s–1980s: Computer Science Joins the Game
   As computers became more powerful, data processing and database systems like SQL were developed.
   Data was starting to be stored digitally rather than on paper.
   This was the foundation for modern data analysis.
   Key milestone:
   Relational databases, such as Oracle and IBM DB2, emerged during the 1980s to efficiently store large volumes of data for organizations.

4. 1990s: Rise of “Data Mining”
   In the 1990s, organizations started to generate more data than ever before.
   The process of finding patterns and insights in large datasets came to be known as data mining.
   Algorithms of machine learning, such as decision trees and clustering, gained widespread popularity.
   Key event:
   Until 1997, the term "Data Science" was officially proposed by C.F. Jeff Wu in his lecture entitled "Statistics = Data Science".

5. 2000s: Big Data and the Modern Era
   The explosion of the internet, social media, and smartphones produced massive amounts of data.
   This scale was beyond traditional approaches, forcing the emergence of Big Data technologies, including Hadoop, Spark.
   Data Science became officially a discipline, fusing:
   Statistics
   Computer Science
   Machine Learning
   Business Knowledge
   2008 milestone:
   D.J. Patil and Jeff Hammerbacher of LinkedIn and Facebook, respectively,
   were some of the very first to be called Data Scientists — and helped to popularize the title.

6. 2010s–2020s: AI, Deep Learning & Data Science Boom
   Data Science became a core field in technology with the rise of Artificial Intelligence and Deep Learning.
   The tools of Python, TensorFlow, and scikit-learn made data modeling accessible to more.
   Companies started hiring Data Scientists to drive decision-making using insights from huge datasets.

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