Why the new Trump-Clinton campaign graph computer-science class is an oxymoron

The latest in a series of polls shows that Hillary Clinton and Donald Trump are far behind in their mathematical skills.

But the campaign isn’t trying to hide the difference.

Hillary Clinton’s campaign is running a new course, and it’s a graph-based one.

The students will learn how to use graphs to analyze data, create graphs that can be used in campaign literature and communications, and even write their own graphics.

The course, called Graphs, is being run by the Clinton campaign.

The class is modeled after a class taught by Donald Trump in the 1980s, but the focus is different, said John Brinkley, a senior adviser to the campaign and former deputy chief of staff for digital at the White House.

Trump’s original course taught students how to “think like a political leader, write like a politician, and analyze data like a scientist.”

Trump taught students the basics of statistics, but in the end, they were more interested in data visualization and graphics, Brinkly said.

Clinton’s course is called GraphS, for “Graphs of the Future,” and is intended to help her communicate her policy positions and strategy.

The course focuses on how to create graphs in the way that Trump’s campaign staff uses the toolkit to make his own campaign literature look more like a Trump-branded book.

The focus is not to be a replacement for the traditional data visualization courses taught by the campaign, Brackley said, but rather to teach the new skills that Clinton’s team is aiming to develop.

There are already dozens of data visualization classes on the Trump-aligned Clinton campaign website.

One of the biggest differences between the two courses is that the Clinton team is using data to analyze the data themselves, rather than relying on a third party.

In fact, the campaign has launched an online course called “Hillarys Data Science Skills” that is designed to train students in the “analytic and data visualization skills needed to effectively use data and data-driven approaches to policymaking and decision-making.”

The new course is different in that it focuses on creating visualizations that are specific to the Clinton platform, not just a campaign slogan.

The Clinton campaign is trying to take the data visualization lessons from the Trump campaign and use them in its own campaigns, but Brinkle said that doesn’t necessarily mean that the two campaigns are the same.

“The Clinton campaign understands that the new model has a different purpose, and so it’s not just that we’re doing the same thing, it’s that the goal is different,” he said. 

Clinton’s campaign says it will launch an online data visualization course in 2019 The courses are part of a broader campaign effort to train the candidates’ staffs on how data visualization can be useful to them.

In May, the Clinton camp launched an analytics course, which includes data visualizations, as well as how to conduct research, run campaigns, and communicate with voters.

The goal is to get staff in the campaign’s data-management process to understand the importance of visualizing data in campaigns.

The campaign is also building a “digital team” to help staff analyze data and run campaigns.

Clinton’s staff has also been trained on how not to make mistakes.

In April, the Democratic National Committee launched a new data visualization training course called Data Vision, aimed at boosting staff’s understanding of how to communicate their data to voters.

The Clinton team has also started a Data Analytics Lab at the University of Pennsylvania.

In the course, the staff are learning how to apply data analytics tools to understand how their data will be used, Brinker said.

The lab is being overseen by Jill Abramson, who has served as a senior advisor for the Clinton digital team since 2012.

“The goal is not just to have data that can tell the campaign stories they want to tell, but to make data that is meaningful to their audience,” Brinkie said.

“That is the goal, that is the core of the campaign.”

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