Software Engineering for Data Scientists (Early Release) 9781098136208

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project

659 123 2MB

English Pages 37 Year 2024

Software Engineering for Data Scientists (Early Release)
9781098136208

These easy to learn and apply software engineering techniques will radically improve collaboration, scaling, and deploym

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What do you need to know to move from developer to senior engineer? Undergraduate curricula and bootcamps may teach the

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Extract, transform, load (ETL) is at the center of every application of data, from business intelligence to AI. This tec

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"Extract, transform, load" (ETL) is at the center of every application of data, from business intelligence to

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Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been

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If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on

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All cloud architects need to know how to build data platforms—the key to enabling businesses with data and delivering en

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Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practice

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Probability for Data Scientists provides students with a mathematically sound yet accessible introduction to the theory

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