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Data Science vs Data Analytics: What's the difference?
Manage episode 405977567 series 3501806
Sisällön tarjoaa Alexis Keller-Carrell. Alexis Keller-Carrell tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Data Science vs. Data Analytics What's the difference? In the latest "Talk Tech with Data Dave" episode, Alexis and Data Dave tackle the intriguing differences between data science and data analytics. Dave positions data science as a focused branch within the broader realm of data analytics, each serving unique but complementary roles in deciphering data's secrets. Through vivid examples, Dave demystifies how data analytics might guide business decisions like expansion, while data science delves into complex correlations, such as weather patterns affecting sales. As the discussion unfolds, revealing D3Clarity's expertise in navigating both fields through robust data governance and master data management, a question lingers: how does one ensure their data is primed for the sophisticated analyses and predictions these practices promise? Just when the conversation peels back layers of data's potential, Alexis and Dave hint at deeper explorations and unseen challenges in the data landscape. What mysteries and opportunities lie in the vast expanse of untapped data? Listen to find out!
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