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By Mobilize Ops October 27th, 2019

“IDS has made me more aware of how data is collected in various ways. This class has been really eye opening [on] to collect data.”
“I see IDS fitting into my future…I am able to put IDS on my college application, and if I would ever want to go into computers as a career I would already know how to code.”

– Students

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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