Blogs|Mar 5, 2018

Beginning Statistics for Data Science: Analyzing Data

In our last post we discussed different types your data can have. Now let’s focus on how to analyze on those types of data. Python code will be used to demonstrate a few of these concepts. To get things start in regards to the Python code, let’s go ahead and import our packages and review…
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Devcenter|Feb 2, 2018

Getting Quick Insights on Sales Data with PowerBI

To finish off getting insights from a sales data set, we’re going to look at using Microsoft’s PowerBI. PowerBI is a very helpful tool for looking at our data through visualizations. The insights will be the same that we got in our visualization post from before, but using PowerBI we get these visualizations quicker and…
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Blogs|Jan 17, 2018

Beginning Statistics for Data Science: Types of Data

Statistics is becoming a must learn topic for anyone looking to get into data science. Look at any data scientist job posting, and you will be hard-pressed to find a listing that does not mention a degree in statistics, mathematics, or some experience in analytics as a minimum qualification. Courses in data science are including…
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Blogs|Aug 28, 2017

Using Pandas to Analyze Sales Data

Now that we know how the data science process works, let’s leverage some of it and try to find insights into some data. We’ll be using pandas, a popular data analysis package for Python, to load and work with our data. Feel free to follow along by downloading the Jupyter notebook. If you went through…
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news|Mar 3, 2016

An Easier Way to Access App Analytics

Tracking your app’s metrics—such as number of downloads and failure rate—is, of course, crucial to improving its performance. But the process can be cumbersome. Now, developers with apps in the Windows Store can access their analytics without having to log into Microsoft’s Dev Center, with a new Windows Store Analytics API. The API can be…
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