#### Data Analytics

Terminology in Data Analytics As data continue to grow at a faster rate than either population or economic activity, so do organizations' efforts to deal with the data deluge, and use it to capture value.  And so do the methods used to analyze data, which…

#### 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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#### Statistical Thinking

Gambler’s Fallacy I - forgetting that the “coin has no memory”   Gamblers often believe that after a long streak of one outcome, the probability of a different outcome has increased.  Sports commentators often say that a batter in a slump is “due” for a hit.…

#### Latin hypercube

In Monte Carlo sampling for simulation problems, random values are generated from a probability distribution deemed appropriate for a given scenario (uniform, poisson, exponential, etc.).  In simple random sampling, each potential random value within the probability distribution has an equal value of being selected. Just…

#### Oct 14: Statistics in Practice

This week we look at several ways to fool yourself, statistically - variants of the “Gambler’s Fallacy.” Gambling is all about accurately assessing risk, so, naturally, our featured course is: Nov 15 - Dec 13: Risk Simulation and Queuing See you in class! - Peter Bruce,…

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#### Workforce Management

Anyone who has worked in retail knows the anxiety that attends workforce scheduling for both manager and employee.  The manager wonders “Will my employees show up at the right times?” The employee wonders “Will I be scheduled for inconvenient times?  Enough hours? Too many hours?”  …

#### Regularize

The art of statistics and data science lies, in part, in taking a real-world problem and converting it into a well-defined quantitative problem amenable to useful solution. At the technical end of things lies regularization. In data science this involves various methods of simplifying models,…