A Deep Dive Into Forecasting with Excel and Python.

Partner: Udemy
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Description: Hello :)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 everythingThis course is aimed to orient you to the latest statistical forecasting techniques and trends. but first, we need to understand how forecasting works 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 Python. "Don't worry if you don't know Python, 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 Python.2- Univariate analysis for time series in Excel and Python..3- Bivariate analysis and auto-correlation in Excel and Python..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 Python and using it as an everyday tool for forecasting.10- Using the sktime Package for advanced forecasting methods and aggregations.11- Using statsmodels package for grid search on ARIM
Category: Business > Operations > Python
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Price: 94.99
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Source: Impact
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