How to Get Started with Power BI
Power BI is an analysis tool created by Microsoft. It is part of a class of software tools known as self-service business intelligence tools, which means that it is supposed to be easier than most analytics-based
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How to Generate Mock Sales Data
Search for mock data or mockup data, and you’ll have plenty of options for items like customers or regions. Mockaroo is one popular choice among many for generating such data and will generate up to
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Find Your Use Cases
If I see another tutorial using the Iris dataset, I'm going to jump off a bridge. Not literally, of course. But I am not interested in learning about the properties of flowers. Some people are, and that's
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Loading R Scripts Into Power BI
R is a popular language for data science, although recently Python is winning the language wars. Still, R has its proponents (yours truly) and will continue in its use throughout the data science community.
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Learning the Skills for Data Science Is Easy? Are You Sure?
I was reading an article in Forbes, "Learning Data Science Skills Is Easier Than You Think." While I don't think learning data science is on par with rocket science, I think it's a stretch to state that
Continue readingLearning R Using DPLYR and Baseball Stats
Now that the Superbowl is over, we're gearing up for the baseball season. Why not brush up on your favorite players and learn R coding at the same time? In fact, you could be learning R using DPLYR and
Continue readingUsing Match to Avoid Joins in R
Joins are a powerful tool for data analysts to use. They permit analysts to bring together (hence the name join) two or more tables, having a common set of fields. The keys to the joins can be as simple
Continue readingHow to Pick Teams for Deadball in R
When you learn how to pick teams for Deadball in R, you'll have access to tools to learn about baseball using the language R. This article will use the Lahman database (package for R) to select teams randomly.What
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Data Science ROI: 7 Ways to Boost It
For most companies, data science remains the final frontier that appears too hard to conquer. Even the attractive benefits such as optimized workflow and actionable marketing reports are not enough to
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Evaluating Machine Learning Models
Evaluating machine learning models is one of the most important steps in any data science workflow. You can spend hours cleaning data and tuning algorithms, but if you don’t know whether your model actually
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