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Data Science also known as data- driven science helps you to create models, methodologies, and algorithms that provide practical utility. Data science is also the practice of asking questions and finding solutions to unknown problems which in turn motivate business values.
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submitted 9 days ago, by careenjoseph
data science training in bangalore popular tutorial

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Tutorials are any resources you learn from.

Examples: an intro to html5 screencast, a pdf about git, photoshop effects tutorials, meta-programming in ruby, lambda calculus, higher-order fixed-point combinators.

Tools are websites, apps or services used -on- your project (indirectly), to aid the process.

Examples: A color scheme generator, email marketing software, usability heat maps, css3 code generators, a downloadable png compressor.

Assets are downloadable files used -in- your projects, usually as code, textures, or images.

Examples: a jquery sticky menu, photoshop brushes, background textures, mvc frameworks, twitter bootstrap, 960 grid system.