Data Science: Start at the very Beginning, It’s a very good place to start

I have found that Data Science projects often deal with two types of clients: One of whom understands the Data Science Process and has a good grasp of what it can do, and the other who wants to add a dash of Machine Learning (ML) and/or Artificial Intelligence (AI) on top of Business Intelligence to find…


Does Data Science Replace BI?

When a new technology comes around, there’s a temptation to think that it replaces a previous one. But most of the time, that’s not really true. I started working with computers in the Mainframe days. We still had them when I worked for NASA. Minicomputers came out, then Personal Computers – and in large part,…


Seatbelt Learning with Uncle Buck

I travel a great deal for my work. For instance, in the next two weeks alone, I’ll travel from Florida to Hong Kong for a week, then from Hong Kong to London for a week, and then from London back to Tampa – I’ll circumnavigate the globe for just two Data Science trips. I’m home…


A Quick Start for Data Science

I’ve covered the Data Science Body of Knowledge here on this blog, and there’s quite a bit there to get started with. But if you’d like a “quicker” introduction to Data Science, I have you covered. You might want to see if you’re really interested, explain to your boss what Data Science is, or maybe you’re just…


Simplifying (?) Artificial Intelligence

Artificial Intelligence is a vastly complicated topic. It’s not just that it has a lot of components (because it does) it’s because it isn’t really a single topic. It’s a surprisingly old field of study that has morphed and changed over the years. I worked with “AI Systems” in the 1970’s – and even then it was based…


A Data Science Microsoft Project Template You Can Use in Your Solutions

In most of the Data Science and AI articles, blogs and papers I read, the focus is on a particular algorithm or math angle to solving a puzzle. And that’s awesome – we need LOTS of those. However, even if you figure those out, you have to use them somewhere. You have to run that…

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What is the main difference between Business Intelligence and Data Science?

I’ve explained in other articles that Data Science is not a replacement for other data technologies, it’s a continuation of the data analytics process. So if Data Science is used in analytics of large sets of data, how does it differ from Business Intelligence (BI), which is also used to analyze large sets of data? Business…


Build the House Around the Plumbing

There’s a show on US television called “This Old House“, where a team of craftsmen fix up older homes – like VERY old (at least old in the US sense). In one episode, an entire quarter of the show time was devoted to the amazing lengths the team went through to put in updated plumbing…


Data Wrangling – Regular Expressions

The first step of deep analysis using the Team Data Science Process is to find the right question. From there, we need to determine where the data you need lives, or even if you have it. If we don’t have it, we need to get it – a topic I’ll cover in another post. The next…


Learning on the Move

Probably the most interesting reactions I get (and that’s saying a lot) is when I tell people that I teach on a cruise. “A cruise? Like on a ship, or something? Like, a regular cruise?” Yes, I’ll reply, THAT kind of cruise. At first, people laugh, but then you can see the wheels turn and they ask for details…