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Introduction to Data Science and AI: The What’s, Why’s and Tools

Home / EVENTS

Introduction to Data Science and AI: The What’s, Why’s and Tools

Data Science is a big hype now and everyone wants to get on board with it or at least talking about it. With so many tools, blogs and talks out there, newcomers are normally left stranded not knowing where to start. This quick intro course aims to break that hype and guide anyone new in data science to the right path. The speaker will give an overview on data science, why do data science, the job paths in data science and the tools needed to learn and master data science. No laptops or prior experience needed. Just come with an open mind and a willingness to learnKey TakeawaysAt the end of this course attendees will know: What is data science and why do companies/individuals use it Difference between data scientist, data engineer, data analyst, data administrator etc The different tools in data science/big dataWho should attend Data Science Startup Big data Analyst Innovator Data administrator

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Home / EVENTS

Introduction to Data Science and AI: The What’s, Why’s and Tools

Apr 6, 2019 12:00 AM

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12:00 am

MaGIC (Malaysian Global Innovation & Creativity Centre)

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Data Science is a big hype now and everyone wants to get on board with it or at least talking about it. With so many tools, blogs and talks out there, newcomers are normally left stranded not knowing where to start. This quick intro course aims to break that hype and guide anyone new in data science to the right path. The speaker will give an overview on data science, why do data science, the job paths in data science and the tools needed to learn and master data science. No laptops or prior experience needed. Just come with an open mind and a willingness to learnKey TakeawaysAt the end of this course attendees will know: What is data science and why do companies/individuals use it Difference between data scientist, data engineer, data analyst, data administrator etc The different tools in data science/big dataWho should attend Data Science Startup Big data Analyst Innovator Data administrator

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