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The Evolution of Data Science: From Statistics to Big Data & AI
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Trace the history of data science from its 1960s statistical roots to today’s AI-powered big-data landscape. In this episode of TechDaily.AI (brought to you by StoneFly), we map out:
- Pioneering Milestones: Tufte’s 1962 “Future of Data Analysis,” Tukey’s Exploratory Data Analysis, the rise of KDD & the Data Science Journal
- Breakthrough Tech: Hadoop, NoSQL, Data Lakes, AutoML
- Defining the Role: How the “Data Scientist” emerged (DJ Patil, Jeff Hammerbacher) and the modern data team ecosystem
- Key Challenges: Data cleaning, ethics & bias, and balancing innovation vs. stability
- Looking Ahead: Automation trends, cloud migration, and the future skillset for data pros
Perfect for anyone curious about how data science became the “sexiest job of the 21st century” and where it’s headed next.
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