Data Analytics vs Data Science
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Published 2023-11-08
Are you interested in data science? And have you heard of data analytics, but aren't sure how they're different? In this video, Martin Keen explains that while data science and data analytics are often used interchangeably, they have distinct roles. In terms of job roles, he covers the tools and practices of data scientists and contrast them with those of data analysts.
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All Comments (21)
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Thanks for the explanation, been a bit frustrated but these explanations has helped
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thanks for the explanation very apt and clear, very helpfull have been thinking of which to have first to add to my accounting and auditing profession.
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Thanks for this simple+detailed explanation (also by the examples)!
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Definitely as the world gets more complicated in regards to the need to deliver goods and/or services locally and globally the ability to harness data in a strategic manner only becomes more important. The platforms that a person or company develops will be the lifeblood and cash cow of that organization or person as well. And as IoT grows not only on Earth but possibly interplanetary soon, it may be just as beneficial to sell the shovel and pick as it is to sell rights to the mountains. Definitely a new and exciting frontier.
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Good explanation as always. Thanks for sharing
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Great motivation to learn more SQL today! 💪🧙♂️🌌⌨️
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Great comparison! Data Analytics provides insights for informed decisions, while Data Science builds predictive models. Both are crucial in leveraging data to drive business success.
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What a brilliant clip. Thanks. Clearly and helpfully explained.
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Nice video, well presented and useful. Thanks!
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So well explained, am definitely downloading this video.
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Very well explained, thank you so much 🙏
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thanks for guide i wanted to study one of the two now you have given me an open door as to what to choose
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Thanks for explanation its very clear & now a day datascience & Analytics both have a great future nd involves data to build models predict the future while analytics focus more on analysing the past data to inform decision in present.So career in data science is challenging & stimulating to solveproblems which makes a real impact of business & society.This type of work is highly fulfilling demands .In data science the import of work on the organization & society is most of all important.And the main responsiobilities & role is to focus on predictive models & solving complex data problem we can say that,while in data analyzing process,it provide more analyze historical data to provide immediate decesion making.Thankyou😊 & have a nyc day ...
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great video great explanation, thank you
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Thanx for clear explanation
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This whiteboard setup is so nice
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Thank you for this comprehensive explanation! ☺️
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could you do a video explaining each IT fields.
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Well I think data is the new oil
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Very interesting 👌