A Deep Dive into Statistical Forecasting(Excel & R)

A Deep Dive into Statistical Forecasting(Excel & R) | Udemy
English | Size: 9.95 GB
Genre: eLearning

What you’ll learn
Time Series Decomposition.
Univariate analysis for time series
Bivariate analysis and auto-correlation
Smoothing the time series
seasonally adjusting the time series
Generating and Calibrating Forecasting in Excel
Learning R and using it as everyday tool for forecasting
Using the Fable Package for advanced forecasting methods and aggregations
Time Series Forecasting
Different Applications of forecasting
R
Fable
Business Forecasting
Excel

Forecasting has been around for 1000s of years. it stems from our need to plan so we can have some direction for the future. We can consider forecasting as the stepping stone for planning. and that’s why it is as important as ever to have good forecasters in institutions, supply chains, companies, and businesses.

With the ever-growing concerns of sustainability and Carbon-footprint. Would you believe it? a good forecast actually contributes to saving resources through the value chain and actually saving the planet. one forecaster at a time. needless to mention, forecasting is integral in marketing, operations, finance, and planning for supply chains…. pretty much everything

This course is aimed to orient you to the latest statistical forecasting techniques and trends. but first, we need to understand how forecasting works and the reasoning behind statistical methods, and when each method is suitable to be used. that’s why we start first with excel and we scale with R. “Don’t worry if you don’t know R, Crash fundamental sections are included!.

the course is for all levels because we start from Zero to Hero in Forecasting.

in this course we will learn and apply :

1- Time Series Decomposition in Excel and R.

2- Univariate analysis for time series in Excel and R.

3- Bivariate analysis and auto-correlation in Excel and R.

4- Smoothing the time series and getting the Trend with Double and centered moving average.

5- seasonally adjusting the time series.

6- Simple and complex forecasts in Excel.

7- Use transformations to reduce the variance while forecasting.

8-Generating and Calibrating Forecasting in Excel.

9- Learning R and using it as an everyday tool for forecasting.

10- Using the Fable Package for advanced forecasting methods and aggregations.

11- Using Forecast package for grid search on ARIMA.

12- Applying a workflow of different models in two lines of code.

13- Calibirating forecasting methods.

14- Applying Hierarchical time series with Bottom-up, middle out, and Top-down Approaches.

16- Use the new R-Fable reconciliation method for aggregation.

15- Using Fable to generate forecasts for 10000 time-series and much more !!

Who this course is for:
Planners
Strategists
Retail merchandise
Financiers
Supply chain
Economists
Operation managers
Budgeters

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