Practical Forecasting with Excel

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2023-02-28
Learners

No Information
Duration

No Information
Instructor

Tamaz Uzunashvili

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This course is designed to help data analysts, business practitioners, and students build a broad range of forecasting models in Excel. It covers topics such as simple models, advanced models, regression analysis, seasonality, and ARIMA models. With this course, you can learn the fastest and easiest way to build models in Excel, even if you have only basic Excel skills. You can apply the forecasting models to different fields of business administration, biology, chemistry, medicine, project management, budgeting, finance, marketing, engineering, and pricing. Practical Forecasting with Excel is the perfect course for anyone looking to gain a better understanding of forecasting and Excel.

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Course Overview

❗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

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