Teaching you how to present your data to drive action
The ability to join data tables together is a foundation of any analytics platform, KNIME included. You need to have some way to not only join two or more tables together, but to ensure the records are matched based on some key, perhaps on a specific item or customer. This is where KNIME can comeRead more about KNIME: Joins are the key to using more than one data set[…]
PowerPoint for data science is similar to PowerPoint for consultants. Complicated ideas need to be simplified on the slide. One of the best ways to simplify the message is to use descriptive slide titles. In this PowerPoint tutorial we’ll talk about descriptive slide titles They are the easiest and biggest impact thing to change ifRead more about PowerPoint for data science[…]
If you have read this blog or followed me on LinkedIn, it is no secret I am a fan of Alteryx. Unfortunately, Alteryx licenses are a bit out of my price range for personal use. That is why I am thrilled to show you KNIME, which is a freeware alternative to Alteryx. KNIME –Read more about KNIME: The best free alternative to Alteryx (2019)[…]
Sampling on the dependent variable is something you see all the time if you read clickbait articles like the crap in Business Insider. These articles typically start with something like, “things all successful people do…” and then make claims about waking up early, or drinking 3 cups of coffee, etc. If you areRead more about Statistics Lie (part 5): Sampling on the dependent variable…or why waking up at 4 am won’t make you successful[…]
Statistics Lie, it’s Not Normal: Flaws of Assuming a Normal Distribution The normal distribution is so common it is often taken for granted by non-statisticians. However, real-world problems often follow when someone assumes their data is “normal” when it is not. How do we recognize and avoid these mistakes? What is the NormalRead more about Statistics Lie (part 4): Normal Distribution…or its totally normal if your data is not normal[…]
Statistics can be used to trick or deceive. Statistics can also “prove” things that are not true at all. One of the reasons this can happen is related to an assumption referred to as iid. Iid is shorthand for independent and identically distributed. It is often a necessary assumption for statistical inference. Assuming events are iidRead more about Statistics Lie (part three): Independent events…or how it was iid and not id that helped fuel the financial crisis[…]
Correlation is not Causation Everyone has heard the maxim that correlation does not necessarily imply causation. But how do we prove when there is causation, when they are caused by the same thing (associated), and when it is just a coincidence? This is the second article in a series called “Statistics Lie” about how improperRead more about Statistics Lie (part two): Correlation and Causation…or why vaccines don’t really cause autism[…]
The flaw of averages Most people have heard of the law of averages, but what about the flaw of averages? I would argue that understanding the flaw of averages is at least as important, especially if you don’t want to be fooled by bad analysis. This is the first article in aRead more about Statistics Lie (part one): Flaw of Averages…or why it takes slightly longer to get your Uber[…]
Data science is like Jiu Jitsu. The comparison seems odd, but might not be as ridiculous as it sounds at first. Jocko Willink is someone who I follow and I think really gets it. On his podcast he often compares lots of business or leadership issues to Jiu Jitsu. You can do the sameRead more about Data Science is like Jiu Jitsu[…]
Artificial Intelligence is the hottest subject in business and some people say we will have AI hiring soon. Some people have asked for my take on the matter. So without further ado…will we see AI automated hiring in 2019? Maybe. But here is the rub; artificial intelligence will never be able to automate the hiringRead more about Will AI automated hiring work in 2019?[…]