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# Week 1 Introduction To Analytics Modeling - GTX ISYE 6501

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Introduction to Analytics Modeling answer important types of questions: what happened? = descriptive what is going to happen? = predictive what actions are best? = prescriptive how do we crea ... te value with data? when can analytics answer these questions? Modeling: taking a real life situation and expressing it in math analyze in math and turn it into a solution best ways to learn: ask questions, discuss answers Course Structure: - knowledge building - experience building based on knowledge built in part 1 Knowledge Building: Models - learn all the models Cross Cutting - data prep, output quality, missing data will include mathematical intuition but keep it agile all developed with situations and examples basic mathematical detail Experience Based: case studies practice using models practice using models using the commonly used analytics softwares make sure you learn key basic concepts link material with real analytic questions develop learning beyond the videos learn to use software without being told exactly what to do Summary: knowledge building and then experience What is Modeling? - real life situation described in math - analyze the math - turn math analysis back to real-life solution the mathematical description of the problem is the model all the detail involved in modeling is 'the model' Introduction to Classification classification = putting things into categories [Show More]

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