How To Easily Decompose Time Series Data In Power BI And Python

In this tutorial, Gaelim is going to show how you can break down time series data into essential components. Using a time series decomposition method will help you find a better way to describe data when you try to describe trends, seasonality or unexpected events, and is a great stepping stone for forecasting.

***** Video Details *****
00:00 Introduction
00:45 Types of graphs
02:50 Dataset
03:15 Python script
05:30 Seasonal decompose
05:54 Creating visual within data
06:40 Seasonality
08:46 Residual
09:14 Not resetting index
10:08 Trend

***** Learning Power BI? *****
FREE COURSE – Ultimate Beginners Guide To Power BI – http://portal.enterprisedna.co/p/ultimate-beginners-guide-to-power-bi
FREE COURSE – Ultimate Beginners Guide To DAX – http://portal.enterprisedna.co/p/ultimate-beginners-guide-to-dax
FREE – Power BI Resources – http://www.enterprisedna.co/power-bi-resources
FREE – 60 Page DAX Reference Guide Download – https://www.enterprisedna.co/dax-formula-reference-guide-download/
Enterprise DNA Membership – https://www.enterprisedna.co/membership
Enterprise DNA Online – http://portal.enterprisedna.co/
Enterprise DNA Events – https://www.enterprisedna.co/enterprise-dna-events-page/

#EnterpriseDNA #PowerBI #PowerBIDesktop #PowerBITutorial #Python #PythonTutorial