Data Science-Forecasting/Time series Using XLMiner,R&Tableau
- 4.1
-
![]()
![]()
![]()
![]()
6.5 hours on-demand video
$
11.99
Brief Introduction
Forecasting Techniques-Linear,Exponential,Quadratic Seasonality models, Autoregression, Smooting, Holts, Winters MethodDescription
Forecasting using XLminar,Tableau,R is designed to cover majority of the capabilities from Analytics & Data Science perspective, which includes the following
- Learn about scatter diagram, autocorrelation function, confidence interval, which are all required for understanding forecasting models
- Learn about the usage of XLminar,R,Tableau for building Forecasting models
- Learn about the science behind forecasting,forecasting strategy & accomplish the same using XLminar,R
- Learn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using best tools
- Learn about Logistic Regression & how to accomplish the same using XLminar
- Learn about Forecasting Techniques-Linear,Exponential,Quadratic Seasonality models,Linear Regression,Autoregression,Smootings Method,seasonal Indexes,Moving Average etc,...
Requirements
- Requirements
- Download XLminer, R , RStudio before starting this tutorial
- Download datasets folder in zip file which is uploaded in Session 1
ExcelR Solutions
4.1 Raiting
Data Science-Forecasting/Time series Using XLMiner,R&Tableau
- 4.1
-
![]()
![]()
![]()
![]()
![]()
Forecasting Techniques-Linear,Exponential,Quadratic Seasonality models, Autoregression, Smooting, Holts, Winters Method Forecasting using XLminar,Tableau,R is designed to cover majority of the capabilities from Analytics & Data Science perspective, which includes the following...
