Super Data Science: ML & AI Podcast with Jon Krohn 340: History of Data Science - Part 1
Feb 14, 2020
In this engaging exploration, the roots of data science are traced back to the 9th century thanks to Arab mathematicians. Fast forward to the 18th century, calculus emerges, enhancing analytical depth. The 1960s bring John Tukey, who advocates for data analysis as a distinct science. We also learn about the urgent need for domain knowledge and see the growth of database marketing in the 1990s. Critiques of poor data practices remind us of the importance of meaningful analysis, setting the stage for a field that's been evolving for decades.
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Deep Historical Roots Of Data
- Data practices trace back centuries, originating with record-keeping needs like taxes in the 9th century.
- Calculus in the 18th century and business analytics in the 19th century set foundations for modern data work.
Tukey Framed Data Analysis As Its Own Science
- John Tukey reframed data analysis as its own science beginning in 1962 and promoted exploratory methods in 1977.
- He introduced box plots and advanced tools that shaped modern EDA practices.
Early Formal Definition Of Data Science
- Peter Naur offered an early formal definition of data science in 1974 emphasizing processing data once established.
- His definition highlighted transferability but downplayed the later-emphasized role of domain knowledge.
