Predict Sales and Forecast Trends in Google Sheets

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В этом Проект с консультациями вы:

Understand how forecasting supports decision-making and identify use cases for forecasting trends.

Visualize and statistically examine the data by testing the slope of the regression line and creating a line chart.

Conduct linear regression and compare trend forecasting to other techniques.

Clock2 hours
BeginnerНачинающий
CloudЗагрузка не требуется
VideoВидео на разделенном экране
Comment DotsАнглийский
LaptopТолько для ПК

By the end of this project, you will understand use cases for conducting forecasts in your workplace and be able to confidently conduct a trend forecast in any spreadsheet software. You will also understand when it is necessary to refine a model to improve the accuracy of forecasted trends. 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 and drive best results. Predictions come our way in the form of the forecasted data we consume regularly in our personal and business lives. This data covers everything from the weather to projected investment returns. At work we use forecasted data for a multitude of purposes including developing strategies, budgets, to provide the right amount of resources to meet demand, and to create the best customer experience possible. In this course, you will build baseline prediction skills with statistical forecasting by designing, creating, and interpreting a sales trend forecast. You will do this as we work side-by-side in the free-to-use software Google Sheets. 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.

Навыки, которые вы получите

Predict SalesForecastingFeature EngineeringTrend AnalysisBusiness Intelligence

Будете учиться пошагово

На видео, которое откроется рядом с рабочей областью, преподаватель объяснит эти шаги:

  1. Understand how forecasting supports decision-making and access Google Sheets.

  2. Identify use cases for forecasting trends.

  3. Understand and recognize linear and exponential growth.

  4. Visualize and statistically examine the data by testing the slope of the regression line and creating a line chart.

  5. Conduct linear regression and compare trend forecasting to other techniques.

  6. Understand how to evaluate models and when to apply feature engineering techniques to improve prediction accuracy.

Как устроены проекты с консультациями

Ваше рабочее пространство — это облачный рабочий стол в браузере. Ничего не нужно загружать.

На разделенном экране видео преподаватель предоставляет пошаговые

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