Instructor-led live forecasting courses, available both online and onsite, use interactive, hands-on practice to show how to apply statistical methods, machine learning techniques, and time series analysis. This approach helps you analyze historical data, recognize patterns, and generate accurate predictions for future trends.
Forecasting training is offered as 'online live training' or 'onsite live training.' Online live training (also known as 'remote live training') is delivered through an interactive remote desktop. Onsite live training can be conducted locally at your location in Sofia or at NobleProg's corporate training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
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.
Description
This course guides participants through a series of methodologies, frameworks, and algorithms that are valuable for predicting future outcomes based on historical data.
It utilizes standard tools such as Microsoft Excel or open-source software (notably the R project).
The principles covered in this course can be applied using any compatible software (e.g., SAS, SPSS, Statistica, MINITAB, ...)
This instructor-led, live training in Sofia (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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