Search result for Forecasting model Online Courses & Certifications
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Advanced Forecasting Models with Excel
by Diego Fernandez- 3.2
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8 hours on-demand video
Identify generalized autoregressive conditional heteroscedasticity modelling need through autoregressive integrated moving average model squared residuals or forecasting errors second order stationary Ljung-Box lagged autocorrelation test. Recognize non-Gaussian generalized autoregressive conditional heteroscedasticity modelling need through autoregressive integrated moving average and generalized autoregressive conditional heteroscedasticity model with highest forecasting accuracy standardized residuals or forecasting errors multiple order stationary Jarque-Bera normality test....
$12.99
Forecasting Models with Python
by Diego Fernandez- 3.5
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5.5 hours on-demand video
Choose autoregressive integrated moving average model with lowest Akaike and Schwarz Bayesian information loss criteria. Assess highest forecasting accuracy autoregressive integrated moving average model residuals or forecasting errors white noise requirement through Ljung-Box lagged autocorrelation test. Finally, you’ll assess highest forecasting accuracy autoregressive integrated moving average model residuals or forecasting errors white noise requirement through Ljung-Box lagged autocorrelation test....
$12.99
Demand Analytics
by Yao Zhao- 4.5
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Approx. 9 hours to complete
Improve the forecasting accuracy by building and validating demand prediction models. General principles of demand planning and forecasting The basics of statistical forecasting models Build and interpret a linear model Build and interpret a linear model screencast Model validation and improvement Model validation and improvement Forecasting and testing Forecasting and testing screencast...
Forecasting Models with R
by Diego Fernandez- 3.9
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5.5 hours on-demand video
Automatically choose autoregressive integrated moving average model with lowest information loss criteria. Assess lowest information loss criteria autoregressive integrated moving average model residuals or forecasting errors white noise requirement through Ljung-Box lagged autocorrelation test. Finally, you’ll assess lowest information loss criteria autoregressive integrated moving average model residuals or forecasting errors white noise requirement through Ljung-Box lagged autocorrelation test....
$12.99
Marketing Analytics: Forecasting Models with Excel
by Start-Tech Academy- 4.5
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7 hours on-demand video
Implement forecasting analytics and forecasting models such as simple linear, simple multiple regression, Ratio to Moving Average, Winter's method for exponential smoothing with trend and seasonality, famous Bass diffusion model and many more. In this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in Excel...
$16.99
Forecasting Models with Excel
by Diego Fernandez- 2.6
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8 hours on-demand video
Assess highest forecasting accuracy autoregressive integrated moving average model residuals or forecasting errors white noise requirement through Ljung-Box lagged autocorrelation test. Become a Forecasting Models Expert and Put Your Knowledge in Practice Finally, you’ll assess highest forecasting accuracy autoregressive integrated moving average model residuals or forecasting errors white noise requirement through Ljung-Box lagged autocorrelation test....
$14.99
Forecasting Models for Marketing Decisions
by David Schweidel- 4.3
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Approx. 12 hours to complete
Beyond simply forecasting what customers will do, marketers need to understand how their actions can shape future behavior. Basics of Forecasting Models Approaches to Forecasting Assessing Forecasting Performance Simple Forecasting Model Assignment Nowcasting: A Model for the Future of Marketing Model for Retention Excel Demonstration Building a Marketing Mix Model Quiz...
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Excel Time Series Models for Business Forecasting
by Dr Prashan S. M. Karunaratne- 5
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Approx. 11 hours to complete
This course explores different time series business forecasting methods. The course covers a variety of business forecasting methods for different types of components present in time series data — level, trending, and seasonal. These forecasting methods will be programmed into Microsoft Excel, displayed graphically, and we will optimise these models to produce accurate forecasts. Solver for SES Forecasting...
Time Series Analysis and Forecasting using Python
by Start-Tech Academy- 4.1
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13 hours on-demand video
Learn about time series analysis & forecasting models in Python |Time Data Visualization|AR|MA|ARIMA|Regression| ANN Theoretical concepts and use cases of different forecasting models In this section, we will discuss about the basics of time series data, application of time series forecasting and the standard process followed to build a forecasting model Section 6 - Forecasting using Regression Model...
$12.99
Time Series Analysis and Forecasting Using Python in 2020
by Arpan Gupta- 0.0
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4.5 hours on-demand video
Forecasting Online Users ? Forecasting Traffic ? Forecasting the expected performance of their loan portfolio? Forecasting real-estate properties? Forecasting User Spending Habits ?...
$12.99
