Forecasting Subscriptions: Case Study

Download the dataset below to solve this Data Science case study on forecasting subscriptions.

Netflix, a popular streaming platform, forecasts subscription growth to optimize its resource planning to meet the growing demands of its subscribers efficiently. They use historical data on quarterly subscriptions, which includes the number of subscribers at different periods.

You are provided with a dataset to build a forecasting model that accurately predicts the future quarterly subscriptions for Netflix. Below are the features in the dataset:

  1. Time Period: Quarterly time period
  2. Subscribers: Number of subscribers at the end of each quarter

Your task is to build a forecasting model to forecast the number of subscriptions for the upcoming quarters.

References to Solve this Data Science Case Study