❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 25th, 2023]
This course provides an introduction to practical forecasting with Microsoft Excel. It is designed to help data analysts, business practitioners, and students build a broad range of forecasting models. The course covers topics such as simple models, advanced models, regression analysis, seasonality, and ARIMA models. It also explains all Excel functions used for models, so only basic Excel skills are required. Participants will learn how to use Excel to forecast different types of risks caused by uncertainty of the future. They will also learn how to use both forecasting and simulation techniques, such as Monte Carlo simulations, to build models with stochastic processes. The course provides an easy and fast way to build models in Excel, and can be applied to various fields of business administration, as well as biology, chemistry, medicine, and other industries.
Course Syllabus
Simple forecasting methods
Regressions
More Advance Methods
Seasonal Models
ARIMA models
