Transcription of Applied Data Science
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Applied Data Science
Applied data ScienceIan LangmoreDaniel Krasner2 ContentsI Programming Prerequisites11 History and Culture .. The Shell .. Streams .. streams .. Text .. Philosophy .. a nutshell .. nuts and bolts .. End Notes .. 112 Version Control with Background .. What is Git .. Setting Up .. Online Materials .. Basic Git Concepts .. Common Git Workflows .. Move from Working to Remote .. changes in your working copy .. changes .. conflicts .. 183 Building a data Cleaning Pipeline with Simple Shell Scripts.
tatistical knowledge and teach them software development fundamentals3. This course will cover Design of small software packages Working in a Unix environment Designing software in teams Fundamental statistical algorithms such as linear and logistic regres-sion 3Our view of what constitutes the necessary fundamentals is strongly in uenced by the
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