Think like a data scientist : tackle the data science process step by step 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