Transcription of INTRODUCTION TO DATA SCIENCE - University Of Maryland
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INTRODUCTION TO data SCIENCEJOHN P DICKERSONL ecture #2 01/31/2017 CMSC320 Tuesdays & Thursdays3:30pm 4:45pmANNOUNCEMENTSR egister on Piazza: 64 have registered already 21 have not registered yetI will be travelling Friday night Tuesday night: Denis, Neil, & Anantwill run a Python tutorial on Tuesday (2/7) I will probablystill hold office hours on Friday (2/3)2?THE data LIFECYCLE3 data collectionData processingExploratory analysis& data vizAnalysis, hypothesis testing, & MLInsight & Policy DecisionTODAY S LECTURE4 data collectionData processingExploratory analysis& data vizAnalysis, hypothesis testing, & MLInsight & Policy DecisionBUT FIRST, SNAKES!Python is an interpreted, dynamically-typed, high-level, garbage-collected, object-oriented-functional-imperative, and widely used scripting language. Interpreted:instructions executed without being compiled into (virtual) machine instructions* Dynamically-typed:verifies type safety at runtime High-level:abstracted away from the raw metal and kernel Garbage-collected:memory management is automated OOFI:you can do bits of OO, F, and I programmingNot the point of this class!
THE DATA LIFECYCLE 3 Data collection Data processing Exploratory analysis & Data viz Analysis, hypothesis testing, & ML Insight & Policy Decision
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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