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Forecasting and Time Series Analysis in Tableau

Forecasting and Time Series Analysis in Tableau
Udemy Course Forecasting and Time Series Analysis in Tableau | NED
Forecasting projects results using time series data, so keep in mind that you can only use forecasting in Tableau if your analysis includes a date and at least one measure. There are scenarios that will not allow for forecasting
by R-Tutorials Training

What you'll learn
  • visualize time series in Tableau
  • perform calculations with time series data in Tableau e.g. SMA calculations
  • use time series specific Tableau functions
  • use the Tableau forecasting tools for exponential smoothing models
  • understand the generated forecast models
  • integrate R into Tableau in order to enhance forecasting capabilities

Sometimes you might find that Tableau's internal forecasting tools are too limited. Well, for these instances I will show you how to integrate the R forecast package into Tableau to do ARIMA modeling. This whole process is so well implemented that it can be done without prior R knowledge. In one of the last sections I will show you how it’s done, step by step.

So what are you going to learn in the course?

We start with the general knowledge you need to work with time series data. Especially data roles. We will then discuss moving averages which are widely used in time series analysis. And we will do some time based filtering. We will of course write our own functions, we will create parameters and you will also learn about the time based functions Tableau has to offer. Each of these things will be enforced with exercises.

That is the first section, after that we will be forecasting with Tableau, that means exponential smoothing. I will show you how to read the results you get and how to manually modify the forecast settings.

That is one way of forecasting in Tableau, but there is an advanced alternative. You can use R from within Tableau to perform advanced forecast modeling as we will learn in the last section of the course.
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