Applied Data Science: Regression for Time Series Forecasting

applied-data-science-multiple-linear-regression-in-r
Applied Data Science: Regression for Time Series Forecasting, In this course you will build a demand forecasting solution in R using concepts from Stats, Economics and Supply Chain


  • Created by Phikolomzi Gugwana
  • 1 hour on-demand video
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion


Description
Six months ago I was tasked with building a Forecasting/ Predictive Time Series model that could take in input variables. I realized that the problem was a Multiple Linear Regression Problem, however, when doing my research for the project I realized that there was very little information available out there on this subject. This is the reason why I bring you this course. To share my research on MLR time series forecasting with you guys, I hope you find it useful and I hope you enjoy it. Thanks and Good Luck!!!
Who is the target audience?

  • Data Scientists at all levels from beginner to advanced.
  • Data Analysts
  • Forecasting Analysts
  • Business Analysts
  • Anyone who is curious about Data Science

Preview This Course - GET COUPON CODE

Post a Comment for "Applied Data Science: Regression for Time Series Forecasting"