Power BI Resources
One of the most frequent questions for those learning Power BI I encounter relates to what are the best resources to learn from. There are a lot of great blogs, YouTube channels, and various community members who post great tips and tricks when learning to develop Power BI datasets and reports. In this article, I'm going to list some of my favorites that I've encountered so far in my journey learning the tool.
ReadPredicting Board Game Ratings with Python
Sliced is a competitive data science game show - participants are given 2 hours to explore and predict data they've just seen! In this article, I walk through my approach building a prediction for the Week 1 data.
ReadHow To Forecast in Python Using Arima
ARIMA models are a widely used method of time series forecasts. This article will walk through how to use ARIMA to forecast a dataset after seasonal decomposition.
ReadHow To Find Seasonality Using Python
Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.
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