|aThink like a data scientist :|btackle the data science process step-by-step /|cBrian Godsey
|aShelter Island :|bManning,|cc2017.
|axxii, 306 p. :|bill. ;|c24 cm.
|aPart 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.