Introduction to Data Science
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Participatory Sensing

By Mobilize January 21st, 2011

Tagged: featured

Introduction to Data Science

 

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This material is based upon work supported by the National Science Foundation under Grant Number 0962919. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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Course Overview

Introduction to Data Science – Course Overview

Unit Unit Title Unit Description
Unit1 Data and Visualizations Introduces students to fundamental notions of data analysis—such as distribution and multivariate associations and emphasizes creating and interpreting visualizations of real-world processes as captured by data
Unit2 Distributions, Probability, and Simulations Students use numerical summaries to describe distributions and introduces probability through the lens of computer simulations for informal inference
Unit3 Data Collection Methods: Traditional and Modern Prepares students to learn about the various ways of collecting data, including Participatory Sensing, and the effect that data collection has on their interpretation of the patterns theydiscover
Unit4 Predictions and Models Students learn to make and how to use mathematical and statistical models to predict future observations and how data scientists measure the success of these predictions
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