The Keys to Effective Data Science Projects – Part 4: Explore the Data

We’re in a series on the “Keys to Effective Data Science Projects”. We’ve identified the question we want to solve, and made a preliminary pass at the data we need to answer that question. Next we brought in that data to a central location we can work with. We now want to explore that data. This is a primary…

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The Keys to Effective Data Science Projects – Part 3: Import the Initial Data

We’re in a series on the “Keys to Effective Data Science Projects” – and we’ve completed the hardest part – identifying the problem(s) we want to solve. Note that each problem gets it’s own project – you’re not going to predict when a hurricane will hit and how much money you’ll get in your bonus this year using the same…

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The Keys to Effective Data Science Projects – Part 2: The Question

In a previous post I explained where to start in a Data Science Project. I’ve also given you a Project Plan that shows all the steps you need to help your organization with a Data Science objective. The first step in that Project Plan is “Business Understanding”, and the first step in that process is defining the problem…

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The Keys to an Effective Data Science Project – Part 1: The Team Data Science Process

Processes are great things. They give you a place to start, a roadmap, and a way to explain to your stakeholders (like customers) what you’re going to do and the order you’ll do it. In this series, I’ll explain a few keys to creating a successful Data Science and AI Project. In addition, a process…

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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…

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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,…

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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…

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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…

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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…

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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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