Think like a data scientist : tackle the data science process step-by-step / Brian Godsey
By: Godsey, Brian [author.].
Publisher: Shelter Island : Manning, [2017]Description: xxii, 306 pages ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781633430273.Subject(s): Data mining | Big data | Electronic data processing | Big data | Data mining | Electronic data processingGenre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA76.9.D343 G63 2017 (Browse shelf) | Available | AU00000000012735 |
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| QA76.9.D343 C54 2016 Introducing data science : big data, machine learning, and more, using Python tools / | QA76.9.D343 E24 2014 Reality mining : using big data to engineer a better world / | QA76.9 .D343 E74 2018 Confident data skills : master the fundamentals of working with data and supercharge your career / | QA76.9.D343 G63 2017 Think like a data scientist : tackle the data science process step-by-step / | QA76.9.D343 G758 2022 Text as data : a new framework for machine learning and the social sciences / | QA76.9.D343 G88 2021 Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning / | QA76.9.D343 H35 2016 Getting started with data science : making sense of data with analytics / |
Includes index.
Part 1. Preparing and gathering data and knowledge. Philosophies of data science -- Setting goals by asking good questions -- Data all around us: the virtual wilderness -- Data wrangling: from capture to domestication -- Data assessment: poking and prodding -- Part 2. Building a product with software and statistics. Developing a plan -- Statistics and modeling: concepts and foundations -- Software: statistics in action -- Supplementary software: bigger, faster, more efficient -- Plan execution: putting it all together -- Part 3. Finishing off the product and wrapping up. Delivering a product -- After product delivery: problems and revisions -- Wrapping up: putting the project away.