Crises like the COVID-19 pandemic have increased the demand for public health experts who possess advanced analytics skills. After all, data – when properly collected, analyzed and understood – has immense power to inform decision-making. And in areas like public health, informed decision making can save lives. Azhar Nizam has
Tag: statistics
In the hype and excitement surrounding artificial intelligence and big data, most of us miss out on critical aspects related to collection, processing, handling and analyzing data. It's important for data science practitioners to understand these critical aspects and add a human touch to big data. What are these aspects?
April 7, 2003 will go down in the history books for me. The streets of Syracuse, New York, were abuzz. I was a junior television major, and our men’s basketball team had just won its first NCAA basketball title. Our three-seed Orangemen had bested #2 Kansas in New Orleans, but the
When it comes to library amenities, it’s tough to top those at North Carolina State University. The historic D. H. Hill Library on North Carolina State University’s campus boasts an ice cream shop that whips up sundaes and milkshakes with NC State’s own ice cream. But when the new James
“Let’s assume a normal distribution …” Ugh! That was your first mistake. Why do we make this assumption? It can’t be because we want to be able to mentally compute standard deviations, because we can’t and don’t it that way in practice. No, we assume a normal distribution to simplify
This post is a nod to one of my favourite plays, The Importance of Being Earnest by Oscar Wilde. As the title ‘Data Scientist’ becomes more common, what can we gain about the importance of titles and labelling from this century old play? For those that haven't read it, the
Depending on whether you are a half-full or a half-empty kind of person, the "big data" revolution is either a tremendous windfall for the career of a statistician, or the makings of a real existential crisis. As with most things, it’s probably a bit of both. On the one hand,
Business Intelligence (BI) can mean many things to many people, but generally BI is associated with business reports. When you fold business analytics (BA), especially advanced analytics that are predictive or prescriptive, under the BI umbrella you inherently dilute the value proposition that analytics can provide to an organization. Why
So far in our Ask the Statistician blog and video series, we have heard responses from statisticians at the Analytics 2013 conference about: The many ways statistics benefit their organizations. The types of statistical analyses used to solve business issues. Best practices for explaining results. How they put statistical
In my previous post in the Ask the Statistician interview series, we heard from statisticians at the Analytics 2013 conference discuss the how their statistical results are put into action within their organizations. Now let’s learn more about their specific examples of success they have had utilizing these results. Check out