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(This article was first published on <strong><a href="http://apicdn.viglink.com/api/click?format=go&key=949efb41171ac6ec1bf7f206d57e90b8&loc=https%3A%2F%2Fwww.r-bloggers.com%2Ffeed%2F&out=https%3A%2F%2Frobjhyndman.com%2Fhyndsight%2Fdatacamp%2F"> R on Rob J Hyndman</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>For the past few months I’ve been working on a new DataCamp course teaching Forecasting using R. I’m delighted that it is now available for anyone to do.<br>
Course blurb Forecasting involves making predictions about the future. It is required in many situations such as deciding whether to build another power generation plant in the next ten years requires forecasts of future demand; scheduling staff in a call center next week requires forecasts of call volumes; stocking an inventory requires forecasts of stock requirements.</p>
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