Data Science-Forecasting/Time series Using XLMiner,R&Tableau
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6.5 Hours | Lec: 33 | 952 MB
Genre: eLearning | Language: English

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

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,...



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