Instructor-led live forecasting training, whether delivered online or onsite, uses interactive, hands-on practice to show you how to apply statistical methods, machine learning techniques, and time series analysis. These skills enable you to analyze historical data, identify patterns, and make accurate predictions for future trends.
Forecasting training is available as "online live training" or "onsite live training". Online live training (also known as "remote live training") is conducted using an interactive remote desktop. Caruaru onsite live Forecasting trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Caruaru - Hub Plural
Rua José Florêncio Filho 115, Caruaru, Brazil, 55014-837
Give your business the professional address it deserves in our flexible, modern and fully serviced offices in Caruaru. Let yourself be inspired by this culturally important city, where festivals and sports are on the calendar and traditional crafts bring color to every corner.
This course is designed for analysts and forecasters who wish to introduce or enhance their forecasting capabilities in areas such as sales forecasting, economic forecasting, technology forecasting, supply chain management, and demand or supply forecasting.
Course Description
This course guides participants through a series of methodologies, frameworks, and algorithms that are valuable when selecting approaches to predict future outcomes based on historical data.
It utilizes standard tools such as Microsoft Excel or open-source software (particularly the R programming language).
The principles taught in this course can be applied using any statistical software (e.g., SAS, SPSS, Statistica, MINITAB, among others).
This instructor-led, live training in Caruaru (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.
By the end of this training, participants will be able to:
Understand the fundamentals of forecasting techniques in R.
Apply exponential smoothing and ARIMA models for time series analysis.
Utilize the ‘forecast’ package to generate accurate forecasting models.
Automate forecasting workflows for business and research applications.
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Testimonials (2)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
Mr Andrew easily understood and responded so well to participants' answers.
Junaidah Ahmad - GAS MALAYSIA DISTRIBUTION SDN BHD
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