Data Analytics Courses

Data analytics and data science are popular terms, and skills in these areas are in great demand.  But what do these terms mean?  Below is an overview and a listing of related courses. For information about our certificate programs in data science and analytics, click here.…

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Matching Algorithms

Some applications of machine learning and artificial intelligence are recognizably impressive - predicting future hospital readmission of discharged patients, for example, or diagnosing retinopathy. Others - self-driving cars, for example - seem almost magical. The matching problem, though, is one where your first reaction might…

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Job Spotlight: Data Scientist

Data science is one of a host of similar terms.  “Artificial intelligence” has been around since the 1960’s and “data mining” for at least a couple of decades.  “Machine learning” came out of the computer science community, and “analytics,” “data analytics,” and “predictive analytics” came…

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A Deep Dive into Deep Learning

On Wednesday, March 27, the 2018 Turing Award in computing was given to Yoshua Bengio, Geoffrey Hinton and Yann LeCun for their work on deep learning. Deep learning by complex neural networks lies behind the applications that are finally bringing artificial intelligence out of the…

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Book Review: Weapons of Math Destruction

Cathy O'Neil's Weapons of Math Destruction, when it was first published in 2016, sounded an early alarm about the big data algorithms and their potential for social evil. The cover is adorned with a robotic death's head and the subtitle reads "How Big Data Increases…

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Confusing Terms in Data Science – A Look at Synonyms, Homonyms and more

To a statistician, a sample is a collection of observations (cases). To a machine learner, it's a single observation. Modern data science has its origin in several different fields, which leads to potentially confusing homonyms and synonyms, like these: Homonyms (words with multiple meanings): Bias: To…

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Industry Spotlight: Package Delivery

Nothing better illustrates the encroachment of data science and analytics on the older "economy of tangible things" than the business of delivering packages. The use of analytics in package delivery is not new. Companies like UPS and Fedex are longtime users of operations research methods…

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Industry Spotlight: Customer Segmentation

Are you "young and rustic?" Or perhaps a "toolbelt traditionalist?" These are nicknames given to customer segments identified by market research firm Claritas, with its statistical clustering tool. Long before the advent of individualized product recommendations, business sought to segment customers into distinct groups on…

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Alaskan Generosity

People in Alaska are extraordinarily generous - that's what a predictive model showed, when applied to a charitable organization's donor list. A closer examination revealed a flaw - while the original data was for all 50 states, the model's training data for Alaska included donors,…

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Job Spotlight: Digital Marketer

A digital marketer handles a variety of tasks in online marketing - managing online advertising and search engine optimization (SEO), implementing tracking systems (e.g. to identify how a person came to a retailer), web development, preparing creatives, implementing tests, and, of course, analytics. There are…

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Artificial Lawyers

Can statistical and machine learning methods replace lawyers? A host of entrepreneurs think so, and do the folks who run www.artificiallawyer.com. Text mining and predictive model products are available now to predict case staffing requirements and perform automated document discovery, and natural language algorithms conduct…

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Entity Resolution and Identifying Bad Guys

Earlier, we described how Jen Golbeck (who teaches Network Analysis at Statistics.com) analyzed Facebook connections to identify fake accounts (the account holders friends all had the same number of friends, which is highly improbable statistically). Network analysis and studying connections lie at the heart of…

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How Google Determines Which Ads you See

A classic machine learning task is to predict something's class, usually binary - pictures as dogs or cats, insurance claims as fraud or not, etc. Often the goal is not a final classification, but an estimate of the probability of belonging to a class (propensity),…

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Job Spotlight: Data Scientist

Data science is one of a host of similar terms. Artificial intelligence has been around since the 1960's and data mining for at least a couple of decades. Machine learning came out of the computer science community, and analytics, data analytics, and predictive analytics came…

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Industry Spotlight: the Auto Industry

The auto industry serves as a perfect exemplar of three key eras of statistics and data science in service of industry: Total Quality Management (TQM) First in Japan, and later in the U.S., the auto industry became an enthusiastic adherent to the Total Quality Management…

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Early Data Scientists

Casting back long before the advent of Deep Learning for the "founding fathers" of data science, at first glance you would rule out antecedents who long predate the computer and data revolutions of the last quarter century. But some consider John Tukey (right), the Princeton statistician…

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Python for Analytics

Python started out as a general purpose language when it was created in 1991 by Guido van Rossum. It was embraced early on by Google founders Sergei Brin and Larry Page ("Python where we can, C++ where we must" was reputedly their mantra). In 2006,…

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Course Spotlight: Deep Learning

Deep learning is essentially "neural networks on steroids" and it lies at the core of the most intriguing and powerful applications of artificial intelligence. Facial recognition (which you encounter daily in Facebook and other social media) harnesses many levels of data science tools, including algorithms…

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The Real Facebook Controversy

Cambridge Analytica's wholesale scraping of Facebook user data is big news now, and people are shocked that personal data is being shared and traded on a massive scale on the internet. But the real issue with social media is not harming to individual users whose…

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Masters Programs versus an Online Certificate in Data Science from Statistics.com

We just attended the analytics conference of INFORMS' (The Institute for Operations Research and the Management Sciences) this week in Baltimore, and they held a special meeting for directors of academic analytics programs to better align what universities are producing with what industry is seeking.…

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Course Spotlight: Text Mining

The term text mining is sometimes used in two different meanings in computational statistics: Using predictive modeling to label many documents (e.g. legal docs might be "relevant" or "not relevant") - this is what we call text mining. Using grammar and syntax to parse the…

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Quotes about Data Science

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former CEO, Hewlett-Packard Co. Speech given at Oracle OpenWorld “Data is the new science. Big data holds the answers.” – Pat Gelsinger, CEO, EMC, Big Bets on Big Data, Forbes“Hiding within those…

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Be Smarter Than Your Devices: Learn About Big Data

When Apple CEO Tim Cook finally unveiled his company's new Apple Watch in a widely-publicizedrolloutearlier this month, most of the press coverage centered on its cost ($349 to start) and whether it would be as popular among consumers as the iPod or iMac. Nitin Indurkhyasaw…

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Twitter Sentiment vs. Survey Methods

Nobody expects Twitter feed sentiment analysis to give you unbiased results the way a well-designed survey will. A Pew Research study found that Twitter political opinion was, at times, much more liberal than that revealed by public opinion polls, while it was more conservative at…

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Internet of Things

Boston, August 3 2014: Bill Ruh, GE Software Center, says that the Internet of Things, 30 billion machines talking to one another, will dwarf the impact of the consumer internet. Speaking at the Joint Statistical Meetings today, Ruh predicted that the marriage of the IoT…

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