Predict Performance Using MA Forecasting in Google Sheets

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Coursera Project Network
Dans ce projet guidé, vous :

Identify use cases for forecasting trends with moving averages (MA).

Build two MA Forecasting models in a spreadsheet.

Visualize the forecast output and test the MA models for accuracy.

Clock2 hours
IntermediateIntermédiaire
CloudAucun téléchargement requis
VideoVidéo en écran partagé
Comment DotsAnglais
LaptopOrdinateur de bureau uniquement

There are many times when having a crystal ball might be useful and it’s natural to leverage trusted predictions of future outcomes to prepare for the future and make strategic decisions. Predicting Performance is especially key to decision-making and risk management. In this project, you will build prediction skills with Moving Averages or MA. MA is classic method of time series decomposition most often used with financial predictions. As you work with MA you will also learn how to evaluate and choose the highest performing model to make the most accurate predictions. You will build your skill as we work side-by-side in the free-to-use software Google Sheets. By the end of this project, you will understand use cases for conducting MA trend forecasts in your workplace, be able to conduct MA forecasting in any spreadsheet software, and be able to confidently select the best performing forecast model to enable decision-making. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Les compétences que vous développerez

Trend AnalysisPredicting PerformanceBusiness IntelligenceModel SelectionFinance

Apprendrez étape par étape

Votre enseignant(e) vous guidera étape par étape, grâce à une vidéo en écran partagé sur votre espace de travail :

  1. Visualize the forecast output and test the MA models for accuracy.

  2. Identify use cases for MA forecasting and import data into Google Sheets.

  3. Build MA Forecasting models in Google Sheets.

  4. Create and visualize MA output and test the models for accuracy.

  5. Evaluate the test statistics and choose the winning model.

Comment fonctionnent les projets guidés

Votre espace de travail est un bureau cloud situé dans votre navigateur, aucun téléchargement n'est requis.

Votre enseignant(e) vous guide étape par étape dans une vidéo en écran partagé

Foire Aux Questions

Foire Aux Questions

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.