Rating 4.25 out of 5 (89 ratings in Udemy)
What you'll learn- Learn about different types of approaches using XLminer, R and Tableau
- Learn about the Forecasting Importance ,Forecasting Strategy which includes Defining goal, Data Collection, Exploratory Data Analysis, Partition Series, Pre-process Data, Forecast Methods, using various Plots.
- Learn about scatter diagram, correlation coefficient, confidence interval, which are all required for implementing forecasting techniques
- Learn about …
Rating 4.25 out of 5 (89 ratings in Udemy)
What you'll learn- Learn about different types of approaches using XLminer, R and Tableau
- Learn about the Forecasting Importance ,Forecasting Strategy which includes Defining goal, Data Collection, Exploratory Data Analysis, Partition Series, Pre-process Data, Forecast Methods, using various Plots.
- Learn about scatter diagram, correlation coefficient, confidence interval, which are all required for implementing forecasting techniques
- Learn about the various error measures such as ME, MAD, MSE, RMSE, MPE, MAPE, MASE
- Learn about Model based Forecasting Techniques such as Linear, Exponential, Quadratic, Additive Seasonality, Multiplicative Seasonality, etc.
- Learn about Auto Regressive Models for using errors to further strengthen the forecasting model used & also learn about Random walk & how to identify the same
- Learn about Data Driven approaches such as Moving Average, Simple Exponential Smoothing, Double Exponential Smoothing / Holts, Winters / HoltWinters
DescriptionForecasting 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,...
