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Applied Data Science: Regression for Time Series Forecasting

Applied Data Science: Regression for Time Series Forecasting

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Applied Data Science: Regression for Time Series Forecasting

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

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What you'll learn
  • In this course you will learn how to build a time series forecasting model using Multiple Linear Regression (MLR), this means that you will learn the assumptions of MLR i.e. some Statistics concepts.
  • You will also learn how to turn your Data Science Skills into useful business solutions by applying some concepts from demand Economics i.e. You will learn how Business knowledge or Domain knowledge fits into Data Science.
  • You will learn all the R code needed to build a MLR algorithm for forecasting.
  • You will learn all the R code needed to build a MLR algorithm for forecasting.

Requirements
  • None. This course is designed to be as simple as possible so you can follow even with no prior knowledge of Statistics or Computer Science


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