Power BI has come a long way since our last Power BI series. We can happily say that Power BI is now one of the best analysis and visualization tools on the market. If you're interested, the previous series started in February 2016 and the introductory post can be found here.
For those that aren't familiar with Power BI, there are two main components that we will cover throughout this series. The first piece that we will cover is the Power BI Desktop application. It's a free desktop application that you can use to explore data from many different types of sources, as well as manipulate and visualize the data in almost any way imaginable. If you wish to follow along with the series, you can download Power BI Desktop here.
The second piece that we will cover is the Power BI Service. It's an inexpensive online service that allows people to share their Power BI Datasets and Reports within their organization. It also has some functionality for sharing with users outside of your organization. Depending on your needs, you may even be able to develop your Power BI Reports directly in the online service. The service has limited capabilities compared to the Desktop application, but it does have a few interesting capabilities that we may touch on. You can access it here.
Before we jump into the series about Data Science, let's have a short conversation about what types of solutions we'll be looking for. In other words...what is Data Science?
|What is Data Science?|
Show me something interesting or unusual in my data.
Are there any relationships in my data that I can't see?
Use my data to make the decision for me.
What information is important or impactful?
I have too much data. Can you reduce it down to a manageable amount?There are a lot of very cool use cases that we plan to cover in this series. Hopefully this series will give you a few ideas that you can use to provide easy value to your organization. Perhaps you could even leverage one into a full-fledged solution and snatch that new position you've been eyeing. Stick with us. We're sure you'll find something interesting along the way. Thanks for reading. We hope you found this informative.
Senior Analytics Associate - Data Science