Data Science-Forecasting/Time series Using XLMiner,R&Tableau

Data Science-Forecasting/Time series Using XLMiner,R&Tableau

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,...

Forecasting Techniques-Linear,Exponential,Quadratic Seasonality models, Autoregression, Smooting, Holts, Winters Method

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What you will 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

Rating: 4.25

Level: All Levels

Duration: 6.5 hours

Instructor: ExcelR Solutions