Time Series Forecasting

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Skills Covered: Time Series Forecasting, ETS Models, ARIMA Models

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ABOUT THIS COURSE


This course provides you with the foundational knowledge to build and apply time series forecasting models in a variety of business contexts. You will gain in-depth knowledge about key components of time series data and forecasting models as well as how to use ETS (Error, Trend, Seasonality) and ARIMA (Autoregressive, Integrated, Moving Average) models to make forecasts


This course is part of the Business Analyst Nanodegree Program.

 

WHAT YOU WILL LEARN


Time Series Fundamentals

  • Learn what attributes make data a time series.
  • Get introduced to a variety of simple forecasting methods.
  • Seasonality
  • Trends and cyclical patterns.

ETS Models

  • Build and use ETS models.
  • Use decomposition plots to visualize time series data.
  • Building an ETS model in Alteryx.

ARIMA Models

  • Build and use ARIMA models.
  • Techniques used in seasonal and non-seasonal ARIMAs.
  • Building an ARIMA model in Alteryx.

Analyzing and Visualizing Results

  • Interpret time series model results.
  • Use holdout samples to compare forecasting models.
  • Visualize your forecasts through various plots.

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Time Series Forecasting
Time Series Forecasting

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