Data analytics wasn't really "invented" as a single event — it developed over time as humans figured out how to gather, measure, and interpret data.
Here's a brief timeline:
Ancient times: Humans gathered data such as census numbers or trade data and analyzed it using simple techniques
(think: Babylonian census or Egyptian records).
17th–18th centuries: The inception of statistics established the ground for analyzing data in a more systematic way.
Early 1900s: Statistical theory and probability were put into formal shape by such pioneers as Ronald Fisher,
providing the tools on which data analysis is based today.
1950s–60s: With computers invented, data processing was so much quicker that it allowed more complicated analysis.
1990s: The advent of the internet and digital data called for new data mining and analytics approaches.
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