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Data Science Intro Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20 Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20
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Copyright © 2017 Elephant Scale. All rights reserved. Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20 Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20
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What Is Data Science? u “Data-driven application development” u A new breed of discipline fueled by – Big data (we have lot more data these days) – Lot of intelligence can be mined from this data – Technology revolutions like Hadoop & NoSQL that enabled Big Data processing possible u Involves multiple disciplines – Computer Science – Statistics etc. u More data usually beats better algorithms -- Anand Rajaraman (Walmart Labs) u New hot thing ! Copyright © 2017 Elephant Scale. All rights reserved. Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20 Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20
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DDD Example: LinkedIn’s People You May Know Copyright © 2017 Elephant Scale. All rights reserved. u Question for class u How will you implement this? u First version is pretty simple (email matching) u ‘finds’ – Profiles with photos get more clicks – ‘you both know this person’ removes creepy factor J Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20 Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20
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Data Scientist Copyright © 2017 Elephant Scale. All rights reserved. Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20 Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20
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Data Scientist u “A data scientist is a business analyst working in Silicon Valley . -- unknown on Twitter u Data Scientist must have a firm grasp on computer science – Algorithms & data structures – Multiple languages (R, Python, Java, ...) – Multiple toolsets & libraries – Big Data tools like Hadoop, Spark, … Machine learning u Must have solid understanding of – Statistics, probabilities, modeling, charts u And most importantly must have domain knowledge (banking, healthcare …) Copyright © 2017 Elephant Scale. All rights reserved. Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20 Licensed for personal use only for Sriram Anne <[email protected]> from Python @ Macy's 2018-02-20 @ 2018-02-20
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Data Scientist vs. Computer Scientist Computer Scientist Data Scientist Differences: Product-driven development Data-driven development Usually doesn’t care about data All about data Can work with limited domain knowledge (e.g. designing a loan processing system) Need deep domain knowledge (e.g. doing risk analysis of loan
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Christopher Reinemann
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