Transcription of Applied Data Science
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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 .. Template for a Python CLI Utility .. 21iiiCONTENTSII The Classic Regression Models234 Notation for Structured data .. 245 Linear Introduction .. Coefficient Estimation: Bayesian Formulation .. setup .. Gaussian World .. Coefficient Estimation: Optimization Formulation.
science skill set is with Drew Conway’s Venn Diagram[Con], see gure 1. Math and statistics is what allows us to properly quantify a phenomenon observed in data.
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CSE 160: Introduction to Data Science, Data science, Data, Introduction to Data Science, INTRODUCTION TO DATA SCIENCE WITH, Science, Introduction: Mind Over Data, Introduction to Information, Information Science, Data Science, Statistical Modeling, and Financial, Introduction to SQL for Data Scientists