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Mobilize Introduction to Data Science Course Offers LAUSD Students a New Pathway to Meeting A-G Requirements

By RYAN MENEZES
LA Times

Thomas Navas, 16, a student in the Introduction to Data Science class at Francis Polytechnic High, uses data from the Centers for Disease Control to test his theory that there is a relationship between hours of sleep per night and a person’s height. (Patrick T. Fallon / For the Los Angeles Times)

During first period at Francis Polytechnic High School in Sun Valley, Monica Casillas asked her students to line up in order by height so she could organize a human representation of a “box-and-whisker” plot.

As they filed into place — most boys went to one end, most girls to the other — Casillas drew the data visualization on butcher paper. The rectangle in the center showed the typical heights of the class, with straight lines called “whiskers” extended from the box to show how far away the tallest and shortest students were from the middle. My life manifesting in different forms. It is a miracle for this, https://thefirstmonth.org/xanax1mg/ If I have an event going on that I know is going to take my anxiety over the edge.

Thomas Navas, a 5-foot-2 junior, found himself at the end of a whisker, the shortest student in his Introduction to Data Science class.

Standing at the end, Navas wondered what affected his height. Could his lack of sleep — about six hours a night — keep him from growing?

Asking questions of data is the aim of the class, which is being offered at 10 Los Angeles Unified School District high schools this year. The class gives students an alternative to traditional math; its curriculum is grounded in hands-on data collection, plus lessons in computer programming so students can get answers from data, a trade highly valued in many industries.

http://www.latimes.com/local/education/la-me-lausd-data-science-20150423-story.html

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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Mobilize Introduction to Data Science Course Offers LAUSD Students a New Pathway to Meeting A-G Requirements

Mobilize Introduction to Data Science Course Offers LAUSD Students a New Pathway to Meeting A-G Requirements

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Introduction to Data Science – Course Overview